18083.05 руб.

From Traditional Fault Tolerance to Blockchain

Книга  From Traditional Fault Tolerance to Blockchain созданная Wenbing Zhao, Wiley может относится к жанру зарубежная компьютерная литература. Стоимость электронной книги From Traditional Fault Tolerance to Blockchain с идентификатором 64992300 составляет 18083.05 руб.

This book covers the most essential techniques for designing and building dependable distributed systems, from traditional fault tolerance to the blockchain technology. Topics include checkpointing and logging, recovery-orientated computing, replication, distributed consensus, Byzantine fault tolerance, as well as blockchain.

This book intentionally includes traditional fault tolerance techniques so that readers can appreciate better the huge benefits brought by the blockchain technology and why it has been touted as a disruptive technology, some even regard it at the same level of the Internet. This book also expresses a grave concern on using traditional consensus algorithms in blockchain because with the limited scalability of such algorithms, the primary benefits of using blockchain in the first place, such as decentralization and immutability, could be easily lost under cyberattacks.

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From Traditional Fault Tolerance to Blockchain

Книга  From Traditional Fault Tolerance to Blockchain созданная Wenbing Zhao, Wiley может относится к жанру зарубежная компьютерная литература. Стоимость электронной книги From Traditional Fault Tolerance to Blockchain с идентификатором 65251795 составляет 18083.05 руб.

This book covers the most essential techniques for designing and building dependable distributed systems, from traditional fault tolerance to the blockchain technology. Topics include checkpointing and logging, recovery-orientated computing, replication, distributed consensus, Byzantine fault tolerance, as well as blockchain.

This book intentionally includes traditional fault tolerance techniques so that readers can appreciate better the huge benefits brought by the blockchain technology and why it has been touted as a disruptive technology, some even regard it at the same level of the Internet. This book also expresses a grave concern on using traditional consensus algorithms in blockchain because with the limited scalability of such algorithms, the primary benefits of using blockchain in the first place, such as decentralization and immutability, could be easily lost under cyberattacks.

Также имеется ФРАГМЕНТ ТЕКСТА для ознакомления!

Коротко о главном в электронной версии зарубежной компьютерной литературы с идентификатором 65251795:

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Cyber Security in Parallel and Distributed Computing

Книга  Cyber Security in Parallel and Distributed Computing созданная Manju Khari, Jyotir Moy Chatterjee, Raghvendra Kumar, Brojo Kishore Mishra, Dac-Nhuong Le, Wiley может относится к жанру зарубежная компьютерная литература. Стоимость электронной книги Cyber Security in Parallel and Distributed Computing с идентификатором 62264860 составляет 18083.05 руб.

The book contains several new concepts, techniques, applications and case studies for cyber securities in parallel and distributed computing

The main objective of this book is to explore the concept of cybersecurity in parallel and distributed computing along with recent research developments in the field. Also included are various real-time/offline applications and case studies in the fields of engineering and computer science and the modern tools and technologies used. Information concerning various topics relating to cybersecurity technologies is organized within the sixteen chapters of this book.

Some of the important topics covered include:

Research and solutions for the problem of hidden image detection Security aspects of data mining and possible solution techniques A comparative analysis of various methods used in e-commerce security and how to perform secure payment transactions in an efficient manner Blockchain technology and how it is crucial to the security industry Security for the Internet of Things Security issues and challenges in distributed computing security such as heterogeneous computing, cloud computing, fog computing, etc. Demonstrates the administration task issue in unified cloud situations as a multi-target enhancement issue in light of security Explores the concepts of cybercrime and cybersecurity and presents the statistical impact it is having on organizations Security policies and mechanisms, various categories of attacks (e.g., denial-of-service), global security architecture, along with distribution of security mechanisms Security issues in the healthcare sector with existing solutions and emerging threats.

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Manju Khari, Jyotir Moy Chatterjee, Raghvendra Kumar, Brojo Kishore Mishra, Dac-Nhuong Le, Wiley работа зарубежного автора зарубежная компьютерная литература

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Security Designs for the Cloud, IoT, and Social Networking

Книга  Security Designs for the Cloud, IoT, and Social Networking созданная Chintan Bhatt, Mani Madhukar, Dac-Nhuong Le, Wiley может относится к жанру зарубежная компьютерная литература. Стоимость электронной книги Security Designs for the Cloud, IoT, and Social Networking с идентификатором 62260820 составляет 18083.05 руб.

Security concerns around the rapid growth and variety of devices that are controlled and managed over the Internet is an immediate potential threat to all who own or use them. This book examines the issues surrounding these problems, vulnerabilities, what can be done to solve the problems, investigating the roots of the problems and how programming and attention to good security practice can combat the threats today that are a result of lax security processes on the Internet of Things, cloud computing and social media.

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Скачать ОнЛайн материалы автора Chintan Bhatt, Mani Madhukar, Dac-Nhuong Le, Wiley на устройства FB2 EPUB TXT RTF PDF HTML MOBI форматы. Цена от бесплатной до выставленной и в данном случае стоимость скачивания составляет 18083.05 руб.

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Advanced Analytics and Deep Learning Models

Книга  Advanced Analytics and Deep Learning Models созданная Amit Kumar Tyagi, Archana Mire, Shaveta Malik, Wiley может относится к жанру программы. Стоимость электронной книги Advanced Analytics and Deep Learning Models с идентификатором 67644661 составляет 18083.05 руб.

Advanced Analytics and Deep Learning Models The book provides readers with an in-depth understanding of concepts and technologies related to the importance of analytics and deep learning in many useful real-world applications such as e-healthcare, transportation, agriculture, stock market, etc. Advanced analytics is a mixture of machine learning, artificial intelligence, graphs, text mining, data mining, semantic analysis. It is an approach to data analysis. Beyond the traditional business intelligence, it is a semi and autonomous analysis of data by using different techniques and tools. However, deep learning and data analysis both are high centers of data science. Almost all the private and public organizations collect heavy amounts of data, i.e., domain-specific data. Many small/large companies are exploring large amounts of data for existing and future technology. Deep learning is also exploring large amounts of unsupervised data making it beneficial and effective for big data. Deep learning can be used to deal with all kinds of problems and challenges that include collecting unlabeled and uncategorized raw data, extracting complex patterns from a large amount of data, retrieving fast information, tagging data, etc. This book contains 16 chapters on artificial intelligence, machine learning, deep learning, and their uses in many useful sectors like stock market prediction, a recommendation system for better service selection, e-healthcare, telemedicine, transportation. There are also chapters on innovations and future opportunities with fog computing/cloud computing and artificial intelligence. Audience Researchers in artificial intelligence, big data, computer science, and electronic engineering, as well as industry engineers in healthcare, telemedicine, transportation, and the financial sector. The book will also be a great source for software engineers and advanced students who are beginners in the field of advanced analytics in deep learning.

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Advanced Analytics and Deep Learning Models

Книга  Advanced Analytics and Deep Learning Models созданная Amit Kumar Tyagi, Archana Mire, Shaveta Malik, Wiley может относится к жанру программы. Стоимость электронной книги Advanced Analytics and Deep Learning Models с идентификатором 67654738 составляет 18083.05 руб.

Advanced Analytics and Deep Learning Models The book provides readers with an in-depth understanding of concepts and technologies related to the importance of analytics and deep learning in many useful real-world applications such as e-healthcare, transportation, agriculture, stock market, etc. Advanced analytics is a mixture of machine learning, artificial intelligence, graphs, text mining, data mining, semantic analysis. It is an approach to data analysis. Beyond the traditional business intelligence, it is a semi and autonomous analysis of data by using different techniques and tools. However, deep learning and data analysis both are high centers of data science. Almost all the private and public organizations collect heavy amounts of data, i.e., domain-specific data. Many small/large companies are exploring large amounts of data for existing and future technology. Deep learning is also exploring large amounts of unsupervised data making it beneficial and effective for big data. Deep learning can be used to deal with all kinds of problems and challenges that include collecting unlabeled and uncategorized raw data, extracting complex patterns from a large amount of data, retrieving fast information, tagging data, etc. This book contains 16 chapters on artificial intelligence, machine learning, deep learning, and their uses in many useful sectors like stock market prediction, a recommendation system for better service selection, e-healthcare, telemedicine, transportation. There are also chapters on innovations and future opportunities with fog computing/cloud computing and artificial intelligence. Audience Researchers in artificial intelligence, big data, computer science, and electronic engineering, as well as industry engineers in healthcare, telemedicine, transportation, and the financial sector. The book will also be a great source for software engineers and advanced students who are beginners in the field of advanced analytics in deep learning.

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Коротко о главном в электронной книге темы Программы с идентификатором 67654738:

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Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics

Книга  Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics созданная Srinivas Prasad, Sudhir Kumar Mohapatra, Subhendu Kumar Pani, Sunil Kumar Dhal, Wiley может относится к жанру программы. Стоимость электронной книги Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics с идентификатором 67650205 составляет 18083.05 руб.

BIG DATA ANALYTICS AND MACHINE INTELLIGENCE IN BIOMEDICAL AND HEALTH INFORMATICS Provides coverage of developments and state-of-the-art methods in the broad and diversified data analytics field and applicable areas such as big data analytics, data mining, and machine intelligence in biomedical and health informatics. The novel applications of Big Data Analytics and machine intelligence in the biomedical and healthcare sector is an emerging field comprising computer science, medicine, biology, natural environmental engineering, and pattern recognition. Biomedical and health informatics is a new era that brings tremendous opportunities and challenges due to the plentifully available biomedical data and the aim is to ensure high-quality and efficient healthcare by analyzing the data. The 12 chapters in??Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics??cover the latest advances and developments in health informatics, data mining, machine learning, and artificial intelligence. They have been organized with respect to the similarity of topics addressed, ranging from issues pertaining to the Internet of Things (IoT) for biomedical engineering and health informatics, computational intelligence for medical data processing, and Internet of Medical Things??(IoMT). New researchers and practitioners working in the field will benefit from reading the book as they can quickly ascertain the best performing methods and compare the different approaches. Audience Researchers and practitioners working in the fields of biomedicine, health informatics, big data analytics, Internet of Things, and machine learning.

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Коротко о главном в электронной книге темы Программы с идентификатором 67650205:

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Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics

Книга  Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics созданная Sunil Kumar Dhal, Srinivas Prasad, Subhendu Kumar Pani, Sudhir Kumar Mohapatra, Wiley может относится к жанру программы. Стоимость электронной книги Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics с идентификатором 67707679 составляет 18083.05 руб.

BIG DATA ANALYTICS AND MACHINE INTELLIGENCE IN BIOMEDICAL AND HEALTH INFORMATICS Provides coverage of developments and state-of-the-art methods in the broad and diversified data analytics field and applicable areas such as big data analytics, data mining, and machine intelligence in biomedical and health informatics. The novel applications of Big Data Analytics and machine intelligence in the biomedical and healthcare sector is an emerging field comprising computer science, medicine, biology, natural environmental engineering, and pattern recognition. Biomedical and health informatics is a new era that brings tremendous opportunities and challenges due to the plentifully available biomedical data and the aim is to ensure high-quality and efficient healthcare by analyzing the data. The 12 chapters in??Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics??cover the latest advances and developments in health informatics, data mining, machine learning, and artificial intelligence. They have been organized with respect to the similarity of topics addressed, ranging from issues pertaining to the Internet of Things (IoT) for biomedical engineering and health informatics, computational intelligence for medical data processing, and Internet of Medical Things??(IoMT). New researchers and practitioners working in the field will benefit from reading the book as they can quickly ascertain the best performing methods and compare the different approaches. Audience Researchers and practitioners working in the fields of biomedicine, health informatics, big data analytics, Internet of Things, and machine learning.

Также имеется ФРАГМЕНТ ТЕКСТА для ознакомления!

Коротко о главном в электронной книге темы Программы с идентификатором 67707679:

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Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms

Книга  Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms созданная Rohit Raja, Shrikant Tiwari, Sandeep  Kumar, Shilpa Rani, Wiley может относится к жанру программы. Стоимость электронной книги Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms с идентификатором 66804897 составляет 18083.05 руб.

COGNITIVE BEHAVIOR AND HUMAN COMPUTER INTERACTION BASED ON MACHINE LEARNING ALGORITHMS The objective of this book is to provide the most relevant information on Human-Computer Interaction to academics, researchers, and students and for those from industry who wish to know more about the real-time application of user interface design. Human-computer interaction (HCI) is the academic discipline, which most of us think of as UI design, that focuses on how human beings and computers interact at ever-increasing levels of both complexity and simplicity. Because of the importance of the subject, this book aims to provide more relevant information that will be useful to students, academics, and researchers in the industry who wish to know more about its real-time application. In addition to providing content on theory, cognition, design, evaluation, and user diversity, this book also explains the underlying causes of the cognitive, social and organizational problems typically devoted to descriptions of rehabilitation methods for specific cognitive processes. Also described are the new modeling algorithms accessible to cognitive scientists from a variety of different areas. This book is inherently interdisciplinary and contains original research in computing, engineering, artificial intelligence, psychology, linguistics, and social and system organization as applied to the design, implementation, application, analysis, and evaluation of interactive systems. Since machine learning research has already been carried out for a decade in various applications, the new learning approach is mainly used in machine learning-based cognitive applications. Since this will direct the future research of scientists and researchers working in neuroscience, neuroimaging, machine learning-based brain mapping, and modeling, etc., this book highlights the framework of a novel robust method for advanced cross-industry HCI technologies. These implementation strategies and future research directions will meet the design and application requirements of several modern and real-time applications for a long time to come. Audience: A wide range of researchers, industry practitioners, and students will be interested in this book including those in artificial intelligence, machine learning, cognition, computer programming and engineering, as well as social sciences such as psychology and linguistics.

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Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms

Книга  Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms созданная Shrikant Tiwari, Sandeep  Kumar, Shilpa Rani, Rohit Raja, Wiley может относится к жанру программы. Стоимость электронной книги Cognitive Behavior and Human Computer Interaction Based on Machine Learning Algorithms с идентификатором 66804797 составляет 18083.05 руб.

The book focuses on the way that human beings and computers interact to ever increasing levels of both complexity and simplicity. Assuming very little knowledge, the book provides content on theory, cognition, design, evaluation, and user diversity. It aims to explain the underlying causes of the cognitive, social and organizational problems typically are devoted to descriptions of rehabilitation methods for specific cognitive processes. This book describes new algorithms for modeling accessible to cognitive scientists of all varieties.

The book is inherently interdisciplinary, publishing original research in the fields of computing, engineering, artificial intelligence, psychology, linguistics, and social and system organization, as applied to the design, implementation, application, analysis, and evaluation of interactive systems. Machine learning research has been being carried out for a decade at international level in various applications. The new learning approach is mostly used in machine learning based cognitive applications. This will give direction for future research to scientists and researchers working in neuroscience, neuro-imaging, machine learning based brain mapping and modeling etc.

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Shrikant Tiwari, Sandeep Kumar, Shilpa Rani, Rohit Raja, Wiley работа о программах программы

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Nature-Inspired Algorithms and Applications

Книга  Nature-Inspired Algorithms and Applications созданная Seema Sharma, Anupriya Jain, Dinesh Goyal, S. Balamurugan, Sonia Duggal, Sachin Sharma, Wiley может относится к жанру программы. Стоимость электронной книги Nature-Inspired Algorithms and Applications с идентификатором 66764772 составляет 18083.05 руб.

The purpose of designing this book is to portray certain practical applications of nature-inspired computation in machine learning for the better understanding of the world around us. The focus is to portray and present recent developments in the areas where nature- inspired algorithms are specifically designed and applied to solve complex real-world problems in data analytics and pattern recognition, by means of domain-specific solutions. Various nature-inspired algorithms and their multidisciplinary applications (in mechanical engineering, electrical engineering, machine learning, image processing, data mining and wireless network domains are detailed, which will make this book a handy reference guide.

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Nature-Inspired Algorithms and Applications

Книга  Nature-Inspired Algorithms and Applications созданная Seema Sharma, Dinesh Goyal, S. Balamurugan, Anupriya Jain, Sachin Sharma, Sonia Duggal, Wiley может относится к жанру программы. Стоимость электронной книги Nature-Inspired Algorithms and Applications с идентификатором 66764757 составляет 18083.05 руб.

The purpose of designing this book is to portray certain practical applications of nature-inspired computation in machine learning for the better understanding of the world around us. The focus is to portray and present recent developments in the areas where nature- inspired algorithms are specifically designed and applied to solve complex real-world problems in data analytics and pattern recognition, by means of domain-specific solutions. Various nature-inspired algorithms and their multidisciplinary applications (in mechanical engineering, electrical engineering, machine learning, image processing, data mining and wireless network domains are detailed, which will make this book a handy reference guide.

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Intelligent Renewable Energy Systems

Книга  Intelligent Renewable Energy Systems созданная Neeraj Priyadarshi, S. Balamurugan, Akash Kumar Bhoi, Jens Bo Holm-Nielsen, Sanjeevikumar Padmanaban, Wiley может относится к жанру программы. Стоимость электронной книги Intelligent Renewable Energy Systems с идентификатором 67177654 составляет 18083.05 руб.

INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by industry experts, is a reflection of the state of the art, a must-have for engineers, maintenance personnel, students, and anyone else wanting to stay abreast with current energy systems concepts and technology. Renewable energy is one of the most important subjects being studied, researched, and advanced in today’s world. From a macro level, like the stabilization of the entire world’s economy, to the micro level, like how you are going to heat or cool your home tonight, energy, specifically renewable energy, is on the forefront of the discussion. This book illustrates modelling, simulation, design and control of renewable energy systems employed with recent artificial intelligence (AI) and optimization techniques for performance enhancement. Current renewable energy sources have less power conversion efficiency because of its intermittent and fluctuating behavior. Therefore, in this regard, the recent AI and optimization techniques are able to deal with data ambiguity, noise, imprecision, and nonlinear behavior of renewable energy sources more efficiently compared to classical soft computing techniques. This book provides an extensive analysis of recent state of the art AI and optimization techniques applied to green energy systems. Subsequently, researchers, industry persons, undergraduate and graduate students involved in green energy will greatly benefit from this comprehensive volume, a must-have for any library. Audience Engineers, scientists, managers, researchers, students, and other professionals working in the field of renewable energy.

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Green Internet of Things and Machine Learning

Книга  Green Internet of Things and Machine Learning созданная Roshani Raut, Chuan-Ming Liu, Sandeep Kautish, Zdzislaw Polkowski, Anil  Kumar, Wiley может относится к жанру программы. Стоимость электронной книги Green Internet of Things and Machine Learning с идентификатором 67178422 составляет 18083.05 руб.

Health Economics and Financing Encapsulates different case studies where green-IOT and machine learning can be used for making significant progress towards improvising the quality of life and sustainable environment. The Internet of Things (IoT) is an evolving idea which is responsible for connecting billions of devices that acquire, perceive, and communicate data from their surroundings. Because this transmission of data uses significant energy, improving energy efficiency in IOT devices is a significant topic for research. The green internet of things (G-IoT) makes it possible for IoT devices to use less energy since intelligent processing and analysis are fundamental to constructing smart IOT applications with large data sets. Machine learning (ML) algorithms that can predict sustainable energy consumption can be used to prepare guidelines to make IoT device implementation easier. Green Internet of Things and Machine Learning lays the foundation of in-depth analysis of principles of Green-Internet of Things (G-IoT) using machine learning. It outlines various green ICT technologies, explores the potential towards diverse real-time areas, as well as highlighting various challenges and obstacles towards the implementation of G-IoT in the real world. Also, this book provides insights on how the machine learning and green IOT will impact various applications: It covers the Green-IOT and ML-based smart computing, ML techniques for reducing energy consumption in IOT devices, case studies of G-IOT and ML in the agricultural field, smart farming, smart transportation, banking industry and healthcare. [b]Audience The book will be helpful for research scholars and researchers in the fields of computer science and engineering, information technology, electronics and electrical engineering. Industry experts, particularly in R&D divisions, can use this book as their problem-solving guide.

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Green Internet of Things and Machine Learning

Книга  Green Internet of Things and Machine Learning созданная Zdzislaw Polkowski, Anil  Kumar, Roshani Raut, Chuan-Ming Liu, Sandeep Kautish, Wiley может относится к жанру программы. Стоимость электронной книги Green Internet of Things and Machine Learning с идентификатором 67178362 составляет 18083.05 руб.

Health Economics and Financing Encapsulates different case studies where green-IOT and machine learning can be used for making significant progress towards improvising the quality of life and sustainable environment. The Internet of Things (IoT) is an evolving idea which is responsible for connecting billions of devices that acquire, perceive, and communicate data from their surroundings. Because this transmission of data uses significant energy, improving energy efficiency in IOT devices is a significant topic for research. The green internet of things (G-IoT) makes it possible for IoT devices to use less energy since intelligent processing and analysis are fundamental to constructing smart IOT applications with large data sets. Machine learning (ML) algorithms that can predict sustainable energy consumption can be used to prepare guidelines to make IoT device implementation easier. Green Internet of Things and Machine Learning lays the foundation of in-depth analysis of principles of Green-Internet of Things (G-IoT) using machine learning. It outlines various green ICT technologies, explores the potential towards diverse real-time areas, as well as highlighting various challenges and obstacles towards the implementation of G-IoT in the real world. Also, this book provides insights on how the machine learning and green IOT will impact various applications: It covers the Green-IOT and ML-based smart computing, ML techniques for reducing energy consumption in IOT devices, case studies of G-IOT and ML in the agricultural field, smart farming, smart transportation, banking industry and healthcare. [b]Audience The book will be helpful for research scholars and researchers in the fields of computer science and engineering, information technology, electronics and electrical engineering. Industry experts, particularly in R&D divisions, can use this book as their problem-solving guide.

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Smart Systems for Industrial Applications

Книга  Smart Systems for Industrial Applications созданная C. Venkatesh, N. Rengarajan, S. Balamurugan, P. Ponmurugan, Wiley может относится к жанру программы. Стоимость электронной книги Smart Systems for Industrial Applications с идентификатором 67178258 составляет 18083.05 руб.

SMART SYSTEMS FOR INDUSTRIAL APPLICATIONS The prime objective of this book is to provide an insight into the role and advancements of artificial intelligence in electrical systems and future challenges. The book covers a broad range of topics about AI from a multidisciplinary point of view, starting with its history and continuing on to theories about artificial vs. human intelligence, concepts, and regulations concerning AI, human-machine distribution of power and control, delegation of decisions, the social and economic impact of AI, etc. The prominent role that AI plays in society by connecting people through technologies is highlighted in this book. It also covers key aspects of various AI applications in electrical systems in order to enable growth in electrical engineering. The impact that AI has on social and economic factors is also examined from various perspectives. Moreover, many intriguing aspects of AI techniques in different domains are covered such as e-learning, healthcare, smart grid, virtual assistance, etc. Audience The book will be of interest to researchers and postgraduate students in artificial intelligence, electrical and electronic engineering, as well as those engineers working in the application areas such as healthcare, energy systems, education, and others.

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Intelligent Systems for Rehabilitation Engineering

Книга  Intelligent Systems for Rehabilitation Engineering созданная Pranav Pathak, Pradeep N., Sandeep Kautish, Roshani Raut, Wiley может относится к жанру программы. Стоимость электронной книги Intelligent Systems for Rehabilitation Engineering с идентификатором 67178162 составляет 18083.05 руб.

INTELLIGENT SYSTEMS FOR REHABILITATION ENGINEERING Encapsulates different case studies where technology can be used as assistive technology for the physically challenged, visually and hearing impaired. Rehabilitation engineering includes the development of technological solutions and devices to assist individuals with disabilities, while also supporting the recovery of the disabled who have lost their physical and cognitive functions. These systems can be designed and built to meet a wide range of needs that can help individuals with mobility, communication, vision, hearing, and cognition. The growing technological developments in machine learning, deep learning, robotics, virtual intelligence, etc., play an important role in rehabilitation engineering. Intelligent Systems for Rehabilitation Engineering focuses on trending research of intelligent systems in rehabilitation engineering which involves the design and development of innovative technologies and techniques including rehabilitation robotics, visual rehabilitation, physical prosthetics, brain computer interfaces, sensory rehabilitation, motion rehabilitation, etc. This groundbreaking book Provides a comprehensive reference covering different computer assistive techniques for the physically disabled, visually and hearing impaired. Focuses on trending research of intelligent systems in rehabilitation engineering which involves the design and development of innovative technologies and techniques. Provides insights into the role of intelligent systems in rehabilitation engineering. Audience Engineers and device manufacturers working in rehabilitation engineering as well as researchers in computer science, artificial intelligence, electronic engineering, who are working on intelligent systems.

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Intelligent Systems for Rehabilitation Engineering

Книга  Intelligent Systems for Rehabilitation Engineering созданная Sandeep Kautish, Roshani Raut, Pranav Pathak, Pradeep N., Wiley может относится к жанру программы. Стоимость электронной книги Intelligent Systems for Rehabilitation Engineering с идентификатором 67178026 составляет 18083.05 руб.

INTELLIGENT SYSTEMS FOR REHABILITATION ENGINEERING Encapsulates different case studies where technology can be used as assistive technology for the physically challenged, visually and hearing impaired. Rehabilitation engineering includes the development of technological solutions and devices to assist individuals with disabilities, while also supporting the recovery of the disabled who have lost their physical and cognitive functions. These systems can be designed and built to meet a wide range of needs that can help individuals with mobility, communication, vision, hearing, and cognition. The growing technological developments in machine learning, deep learning, robotics, virtual intelligence, etc., play an important role in rehabilitation engineering. Intelligent Systems for Rehabilitation Engineering focuses on trending research of intelligent systems in rehabilitation engineering which involves the design and development of innovative technologies and techniques including rehabilitation robotics, visual rehabilitation, physical prosthetics, brain computer interfaces, sensory rehabilitation, motion rehabilitation, etc. This groundbreaking book Provides a comprehensive reference covering different computer assistive techniques for the physically disabled, visually and hearing impaired. Focuses on trending research of intelligent systems in rehabilitation engineering which involves the design and development of innovative technologies and techniques. Provides insights into the role of intelligent systems in rehabilitation engineering. Audience Engineers and device manufacturers working in rehabilitation engineering as well as researchers in computer science, artificial intelligence, electronic engineering, who are working on intelligent systems.

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Intelligent Renewable Energy Systems

Книга  Intelligent Renewable Energy Systems созданная Sanjeevikumar Padmanaban, Neeraj Priyadarshi, S. Balamurugan, Akash Kumar Bhoi, Jens Bo Holm-Nielsen, Wiley может относится к жанру программы. Стоимость электронной книги Intelligent Renewable Energy Systems с идентификатором 67177910 составляет 18083.05 руб.

INTELLIGENT RENEWABLE ENERGY SYSTEMS This collection of papers on artificial intelligence and other methods for improving renewable energy systems, written by industry experts, is a reflection of the state of the art, a must-have for engineers, maintenance personnel, students, and anyone else wanting to stay abreast with current energy systems concepts and technology. Renewable energy is one of the most important subjects being studied, researched, and advanced in today’s world. From a macro level, like the stabilization of the entire world’s economy, to the micro level, like how you are going to heat or cool your home tonight, energy, specifically renewable energy, is on the forefront of the discussion. This book illustrates modelling, simulation, design and control of renewable energy systems employed with recent artificial intelligence (AI) and optimization techniques for performance enhancement. Current renewable energy sources have less power conversion efficiency because of its intermittent and fluctuating behavior. Therefore, in this regard, the recent AI and optimization techniques are able to deal with data ambiguity, noise, imprecision, and nonlinear behavior of renewable energy sources more efficiently compared to classical soft computing techniques. This book provides an extensive analysis of recent state of the art AI and optimization techniques applied to green energy systems. Subsequently, researchers, industry persons, undergraduate and graduate students involved in green energy will greatly benefit from this comprehensive volume, a must-have for any library. Audience Engineers, scientists, managers, researchers, students, and other professionals working in the field of renewable energy.

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Коротко о главном в электронной книге темы Программы с идентификатором 67177910:

Sanjeevikumar Padmanaban, Neeraj Priyadarshi, S. Balamurugan, Akash Kumar Bhoi, Jens Bo Holm-Nielsen, Wiley работа о программах программы

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The New Advanced Society

Книга  The New Advanced Society созданная Sandeep Kumar Panda, Ramesh Kumar Mohapatra, Subhrakanta Panda, S. Balamurugan, Wiley может относится к жанру программы. Стоимость электронной книги The New Advanced Society с идентификатором 67315666 составляет 18083.05 руб.

THE NEW ADVANCED SOCIETY Included in this book are the fundamentals of Society 5.0, artificial intelligence, and the industrial Internet of Things, featuring their working principles and application in different sectors. A 360-degree view of the different dimensions of the digital revolution is presented in this book, including the various industries transforming industrial manufacturing, the security and challenges ahead, and the far-reaching implications for society and the economy. The main objective of this edited book is to cover the impact that the new advanced society has on several platforms such as smart manufacturing systems, where artificial intelligence can be integrated with existing systems to make them smart, new business models and strategies, where anything and everything is possible through the internet and cloud, smart food chain systems, where food products can be delivered to any corner of the world at any time and in any situation, smart transport systems in which robots and self-driven cars are taking the lead, advances in security systems to assure people of their privacy and safety, and smart healthcare systems, where biochips can be incorporated into the human body to predict deadly diseases at early stages. Finally, it can be understood that the social reformation of Society 5.0 will lead to a society where every person leads an active and healthy life. [b]Audience The targeted audience for this book includes research scholars and industry engineers in artificial intelligence and information technology, engineering students, cybersecurity experts, government research agencies and policymakers, business leaders, and entrepreneurs. Sandeep Kumar Panda, PhD is an associate professor in the Department of Data Science and Artificial Intelligence at IcfaiTech (Faculty of Science and Technology), ICFAI Foundation for Higher Education, Hyderabad. His research areas include artificial intelligence, IoT, blockchain technology, cloud computing, cryptography, computational intelligence, and software engineering. Ramesh Kumar Mohapatra, PhD is an assistant professor in the Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India. His research interests include optical character recognition, document image analysis, video processing, secure computing, and machine learning. Subhrakanta Panda, PhD is an assistant professor in the Department of Computer Science and Information Systems, BITS-PILANI, Hyderabad Campus, Jawahar Nagar, Hyderabad, India. His research interests include social network analysis, cloud computing, security testing, and blockchain. S. Balamurugan, PhD is the Director of Research and Development, Intelligent Research Consultancy Services (iRCS), Coimbatore, Tamilnadu, India. He is also Director of the Albert Einstein Engineering and Research Labs (AEER Labs), as well as Vice-Chairman, Renewable Energy Society of India (RESI), India. He has published 45 books, 200+ international journals/ conferences, and 35 patents.

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The New Advanced Society

Книга  The New Advanced Society созданная Subhrakanta Panda, S. Balamurugan, Sandeep Kumar Panda, Ramesh Kumar Mohapatra, Wiley может относится к жанру программы. Стоимость электронной книги The New Advanced Society с идентификатором 67315639 составляет 18083.05 руб.

THE NEW ADVANCED SOCIETY Included in this book are the fundamentals of Society 5.0, artificial intelligence, and the industrial Internet of Things, featuring their working principles and application in different sectors. A 360-degree view of the different dimensions of the digital revolution is presented in this book, including the various industries transforming industrial manufacturing, the security and challenges ahead, and the far-reaching implications for society and the economy. The main objective of this edited book is to cover the impact that the new advanced society has on several platforms such as smart manufacturing systems, where artificial intelligence can be integrated with existing systems to make them smart, new business models and strategies, where anything and everything is possible through the internet and cloud, smart food chain systems, where food products can be delivered to any corner of the world at any time and in any situation, smart transport systems in which robots and self-driven cars are taking the lead, advances in security systems to assure people of their privacy and safety, and smart healthcare systems, where biochips can be incorporated into the human body to predict deadly diseases at early stages. Finally, it can be understood that the social reformation of Society 5.0 will lead to a society where every person leads an active and healthy life. [b]Audience The targeted audience for this book includes research scholars and industry engineers in artificial intelligence and information technology, engineering students, cybersecurity experts, government research agencies and policymakers, business leaders, and entrepreneurs. Sandeep Kumar Panda, PhD is an associate professor in the Department of Data Science and Artificial Intelligence at IcfaiTech (Faculty of Science and Technology), ICFAI Foundation for Higher Education, Hyderabad. His research areas include artificial intelligence, IoT, blockchain technology, cloud computing, cryptography, computational intelligence, and software engineering. Ramesh Kumar Mohapatra, PhD is an assistant professor in the Department of Computer Science and Engineering, National Institute of Technology, Rourkela, Odisha, India. His research interests include optical character recognition, document image analysis, video processing, secure computing, and machine learning. Subhrakanta Panda, PhD is an assistant professor in the Department of Computer Science and Information Systems, BITS-PILANI, Hyderabad Campus, Jawahar Nagar, Hyderabad, India. His research interests include social network analysis, cloud computing, security testing, and blockchain. S. Balamurugan, PhD is the Director of Research and Development, Intelligent Research Consultancy Services (iRCS), Coimbatore, Tamilnadu, India. He is also Director of the Albert Einstein Engineering and Research Labs (AEER Labs), as well as Vice-Chairman, Renewable Energy Society of India (RESI), India. He has published 45 books, 200+ international journals/ conferences, and 35 patents.

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Bioinformatics and Medical Applications

Книга  Bioinformatics and Medical Applications созданная R. Udendhran, S. Vimal, Y. Harold Robinson, Dhinesh Kumar Ramaswami, A. Suresh, Wiley может относится к жанру программы. Стоимость электронной книги Bioinformatics and Medical Applications с идентификатором 67335610 составляет 18083.05 руб.

BIOINFORMATICS AND MEDICAL APPLICATIONS The main topics addressed in this book are big data analytics problems in bioinformatics research such as microarray data analysis, sequence analysis, genomics-based analytics, disease network analysis, techniques for big data analytics, and health information technology. Bioinformatics and Medical Applications: Big Data Using Deep Learning Algorithms analyses massive biological datasets using computational approaches and the latest cutting-edge technologies to capture and interpret biological data. The book delivers various bioinformatics computational methods used to identify diseases at an early stage by assembling cutting-edge resources into a single collection designed to enlighten the reader on topics focusing on computer science, mathematics, and biology. In modern biology and medicine, bioinformatics is critical for data management. This book explains the bioinformatician’s important tools and examines how they are used to evaluate biological data and advance disease knowledge. The editors have curated a distinguished group of perceptive and concise chapters that presents the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to healthcare. Applying deep learning techniques for data-driven solutions in health information allows automated analysis whose method can be more advantageous in supporting the problems arising from medical and health-related information. Audience The primary audience for the book includes specialists, researchers, postgraduates, designers, experts, and engineers, who are occupied with biometric research and security-related issues.

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Bioinformatics and Medical Applications

Книга  Bioinformatics and Medical Applications созданная S. Vimal, Y. Harold Robinson, Dhinesh Kumar Ramaswami, A. Suresh, R. Udendhran, Wiley может относится к жанру программы. Стоимость электронной книги Bioinformatics and Medical Applications с идентификатором 67365244 составляет 18083.05 руб.

BIOINFORMATICS AND MEDICAL APPLICATIONS The main topics addressed in this book are big data analytics problems in bioinformatics research such as microarray data analysis, sequence analysis, genomics-based analytics, disease network analysis, techniques for big data analytics, and health information technology. Bioinformatics and Medical Applications: Big Data Using Deep Learning Algorithms analyses massive biological datasets using computational approaches and the latest cutting-edge technologies to capture and interpret biological data. The book delivers various bioinformatics computational methods used to identify diseases at an early stage by assembling cutting-edge resources into a single collection designed to enlighten the reader on topics focusing on computer science, mathematics, and biology. In modern biology and medicine, bioinformatics is critical for data management. This book explains the bioinformatician’s important tools and examines how they are used to evaluate biological data and advance disease knowledge. The editors have curated a distinguished group of perceptive and concise chapters that presents the current state of medical treatments and systems and offers emerging solutions for a more personalized approach to healthcare. Applying deep learning techniques for data-driven solutions in health information allows automated analysis whose method can be more advantageous in supporting the problems arising from medical and health-related information. Audience The primary audience for the book includes specialists, researchers, postgraduates, designers, experts, and engineers, who are occupied with biometric research and security-related issues.

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Design and Development of Efficient Energy Systems

Книга  Design and Development of Efficient Energy Systems созданная Suman Lata Tripathi, Sanjeevikumar Padmanaban, Dushyant Kumar Singh, P. Raja, Wiley может относится к жанру программы. Стоимость электронной книги Design and Development of Efficient Energy Systems с идентификатором 64482915 составляет 18083.05 руб.

There is not a single industry which will not be transformed by machine learning and Internet of Things (IoT). IoT and machine learning have altogether changed the technological scenario by letting the user monitor and control things based on the prediction made by machine learning algorithms. There has been substantial progress in the usage of platforms, technologies and applications that are based on these technologies. These breakthrough technologies affect not just the software perspective of the industry, but they cut across areas like smart cities, smart healthcare, smart retail, smart monitoring, control, and others. Because of these “game changers,” governments, along with top companies around the world, are investing heavily in its research and development. Keeping pace with the latest trends, endless research, and new developments is paramount to innovate systems that are not only user-friendly but also speak to the growing needs and demands of society.

This volume is focused on saving energy at different levels of design and automation including the concept of machine learning automation and prediction modeling. It also deals with the design and analysis for IoT-enabled systems including energy saving aspects at different level of operation.

The editors and contributors also cover the fundamental concepts of IoT and machine learning, including the latest research, technological developments, and practical applications. Valuable as a learning tool for beginners in this area as well as a daily reference for engineers and scientists working in the area of IoT and machine technology, this is a must-have for any library.

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Design and Development of Efficient Energy Systems

Книга  Design and Development of Efficient Energy Systems созданная Sanjeevikumar Padmanaban, Dushyant Kumar Singh, P. Raja, Suman Lata Tripathi, Wiley может относится к жанру программы. Стоимость электронной книги Design and Development of Efficient Energy Systems с идентификатором 64638520 составляет 18083.05 руб.

There is not a single industry which will not be transformed by machine learning and Internet of Things (IoT). IoT and machine learning have altogether changed the technological scenario by letting the user monitor and control things based on the prediction made by machine learning algorithms. There has been substantial progress in the usage of platforms, technologies and applications that are based on these technologies. These breakthrough technologies affect not just the software perspective of the industry, but they cut across areas like smart cities, smart healthcare, smart retail, smart monitoring, control, and others. Because of these “game changers,” governments, along with top companies around the world, are investing heavily in its research and development. Keeping pace with the latest trends, endless research, and new developments is paramount to innovate systems that are not only user-friendly but also speak to the growing needs and demands of society.

This volume is focused on saving energy at different levels of design and automation including the concept of machine learning automation and prediction modeling. It also deals with the design and analysis for IoT-enabled systems including energy saving aspects at different level of operation.

The editors and contributors also cover the fundamental concepts of IoT and machine learning, including the latest research, technological developments, and practical applications. Valuable as a learning tool for beginners in this area as well as a daily reference for engineers and scientists working in the area of IoT and machine technology, this is a must-have for any library.

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Machine Learning for Healthcare Applications

Книга  Machine Learning for Healthcare Applications созданная Sachi Nandan Mohanty, G. Nalinipriya, Om Prakash Jena, Achyuth Sarkar, Wiley может относится к жанру программы. Стоимость электронной книги Machine Learning for Healthcare Applications с идентификатором 64638500 составляет 18083.05 руб.

When considering the idea of using machine learning in healthcare, it is a Herculean task to present the entire gamut of information in the field of intelligent systems. It is, therefore the objective of this book to keep the presentation narrow and intensive. This approach is distinct from others in that it presents detailed computer simulations for all models presented with explanations of the program code. It includes unique and distinctive chapters on disease diagnosis, telemedicine, medical imaging, smart health monitoring, social media healthcare, and machine learning for COVID-19. These chapters help develop a clear understanding of the working of an algorithm while strengthening logical thinking. In this environment, answering a single question may require accessing several data sources and calling on sophisticated analysis tools. While data integration is a dynamic research area in the database community, the specific needs of research have led to the development of numerous middleware systems that provide seamless data access in a result-driven environment.

Since this book is intended to be useful to a wide audience, students, researchers and scientists from both academia and industry may all benefit from this material. It contains a comprehensive description of issues for healthcare data management and an overview of existing systems, making it appropriate for introductory and instructional purposes. Prerequisites are minimal; the readers are expected to have basic knowledge of machine learning.

This book is divided into 22 real-time innovative chapters which provide a variety of application examples in different domains. These chapters illustrate why traditional approaches often fail to meet customers’ needs. The presented approaches provide a comprehensive overview of current technology. Each of these chapters, which are written by the main inventors of the presented systems, specifies requirements and provides a description of both the chosen approach and its implementation. Because of the self-contained nature of these chapters, they may be read in any order. Each of the chapters use various technical terms which involve expertise in machine learning and computer science.

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Digital Cities Roadmap

Книга  Digital Cities Roadmap созданная Arun Solanki, Adarsh Kumar, Anand Nayyar, Wiley может относится к жанру программы. Стоимость электронной книги Digital Cities Roadmap с идентификатором 64704945 составляет 18083.05 руб.

DIGITAL CITIES ROADMAP This book details applications of technology to efficient digital city infrastructure and its planning, including smart buildings.Rapid urbanization, demographic changes, environmental changes, and new technologies are changing the views of urban leaders on sustainability, as well as creating and providing public services to tackle these new dynamics. Sustainable development is an objective by which the processes of planning, implementing projects, and development is aimed at meeting the needs of modern communities without compromising the potential of future generations. The advent of Smart Cities is the answer to these problems.Digital Cities Roadmap provides an in-depth analysis of design technologies that lay a solid foundation for sustainable buildings. The book also highlights smart automation technologies that help save energy, as well as various performance indicators needed to make construction easier. The book aims to create a strong research community, to have a deep understanding and the latest knowledge in the field of energy and comfort, to offer solid ideas in the nearby future for sustainable and resilient buildings. These buildings will help the city grow as a smart city. The smart city has also a focus on low energy consumption, renewable energy, and a small carbon footprint.AudienceThe information provided in this book will be of value to researchers, academicians and industry professionals interested in IoT-based architecture and sustainable buildings, energy efficiency and various tools and methods used to develop green technologies for construction in smart cities.

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Скачать ОнЛайн материалы автора Arun Solanki, Adarsh Kumar, Anand Nayyar, Wiley на устройства FB2 EPUB TXT RTF PDF HTML MOBI форматы. Цена от бесплатной до выставленной и в данном случае стоимость скачивания составляет 18083.05 руб.

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Machine Learning for Healthcare Applications

Книга  Machine Learning for Healthcare Applications созданная G. Nalinipriya, Om Prakash Jena, Achyuth Sarkar, Sachi Nandan Mohanty, Wiley может относится к жанру программы. Стоимость электронной книги Machine Learning for Healthcare Applications с идентификатором 65064860 составляет 18083.05 руб.

When considering the idea of using machine learning in healthcare, it is a Herculean task to present the entire gamut of information in the field of intelligent systems. It is, therefore the objective of this book to keep the presentation narrow and intensive. This approach is distinct from others in that it presents detailed computer simulations for all models presented with explanations of the program code. It includes unique and distinctive chapters on disease diagnosis, telemedicine, medical imaging, smart health monitoring, social media healthcare, and machine learning for COVID-19. These chapters help develop a clear understanding of the working of an algorithm while strengthening logical thinking. In this environment, answering a single question may require accessing several data sources and calling on sophisticated analysis tools. While data integration is a dynamic research area in the database community, the specific needs of research have led to the development of numerous middleware systems that provide seamless data access in a result-driven environment.

Since this book is intended to be useful to a wide audience, students, researchers and scientists from both academia and industry may all benefit from this material. It contains a comprehensive description of issues for healthcare data management and an overview of existing systems, making it appropriate for introductory and instructional purposes. Prerequisites are minimal; the readers are expected to have basic knowledge of machine learning.

This book is divided into 22 real-time innovative chapters which provide a variety of application examples in different domains. These chapters illustrate why traditional approaches often fail to meet customers’ needs. The presented approaches provide a comprehensive overview of current technology. Each of these chapters, which are written by the main inventors of the presented systems, specifies requirements and provides a description of both the chosen approach and its implementation. Because of the self-contained nature of these chapters, they may be read in any order. Each of the chapters use various technical terms which involve expertise in machine learning and computer science.

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Скачать ОнЛайн материалы автора G. Nalinipriya, Om Prakash Jena, Achyuth Sarkar, Sachi Nandan Mohanty, Wiley на устройства FB2 EPUB TXT RTF PDF HTML MOBI форматы. Цена от бесплатной до выставленной и в данном случае стоимость скачивания составляет 18083.05 руб.

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Digital Cities Roadmap

Книга  Digital Cities Roadmap созданная Anand Nayyar, Arun Solanki, Adarsh Kumar, Wiley может относится к жанру программы. Стоимость электронной книги Digital Cities Roadmap с идентификатором 65064685 составляет 18083.05 руб.

DIGITAL CITIES ROADMAP This book details applications of technology to efficient digital city infrastructure and its planning, including smart buildings.Rapid urbanization, demographic changes, environmental changes, and new technologies are changing the views of urban leaders on sustainability, as well as creating and providing public services to tackle these new dynamics. Sustainable development is an objective by which the processes of planning, implementing projects, and development is aimed at meeting the needs of modern communities without compromising the potential of future generations. The advent of Smart Cities is the answer to these problems.Digital Cities Roadmap provides an in-depth analysis of design technologies that lay a solid foundation for sustainable buildings. The book also highlights smart automation technologies that help save energy, as well as various performance indicators needed to make construction easier. The book aims to create a strong research community, to have a deep understanding and the latest knowledge in the field of energy and comfort, to offer solid ideas in the nearby future for sustainable and resilient buildings. These buildings will help the city grow as a smart city. The smart city has also a focus on low energy consumption, renewable energy, and a small carbon footprint.AudienceThe information provided in this book will be of value to researchers, academicians and industry professionals interested in IoT-based architecture and sustainable buildings, energy efficiency and various tools and methods used to develop green technologies for construction in smart cities.

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Скачать Digital Cities Roadmap ОнЛайн

Электронная книга в жанре программы для обучения и всестороннего развития.

Скачать ОнЛайн материалы автора Anand Nayyar, Arun Solanki, Adarsh Kumar, Wiley на устройства FB2 EPUB TXT RTF PDF HTML MOBI форматы. Цена от бесплатной до выставленной и в данном случае стоимость скачивания составляет 18083.05 руб.

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Smart Healthcare System Design

Книга  Smart Healthcare System Design созданная S. K. Hafizul Islam, Debabrata Samanta, Wiley может относится к жанру программы. Стоимость электронной книги Smart Healthcare System Design с идентификатором 65672977 составляет 18083.05 руб.

The purpose of this book is to help achieve a better integration between the work of researchers and practitioners in a single medium for capturing state-of-the-art IoT solutions in healthcare applications to address how to improve the proficiency of wireless sensor networks (WSNs) in healthcare. It explores possible automated solutions in everyday life, including the structures of healthcare systems built to handle large amounts of data, thereby improving clinical decisions; which is why this book will prove invaluable to professionals who want to increase their understanding of recent challenges in the IoT-enabled healthcare domain. The 14 chapters address various aspects of the IoT system, such as design challenges, theory, various protocols, and implementation issues, and also include several case studies.

Smart Healthcare System: Security and Privacy Aspects covers the introduction, development, and applications of smart healthcare models that represent the current state-of-the-art of various domains. The primary focus will be on theory, algorithms, and their implementation targeted at real-world problems. It will deal with different applications to give the practitioner a flavor of how IoT architectures are designed and introduced into various situations. More particularly, this volume consists of 14 chapters contributed by authors well-versed in the subject who are devoted to reporting the latest findings on smart healthcare system design.

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Smart Healthcare System Design

Книга  Smart Healthcare System Design созданная S. K. Hafizul Islam, Debabrata Samanta, Wiley может относится к жанру программы. Стоимость электронной книги Smart Healthcare System Design с идентификатором 65672965 составляет 18083.05 руб.

The purpose of this book is to help achieve a better integration between the work of researchers and practitioners in a single medium for capturing state-of-the-art IoT solutions in healthcare applications to address how to improve the proficiency of wireless sensor networks (WSNs) in healthcare. It explores possible automated solutions in everyday life, including the structures of healthcare systems built to handle large amounts of data, thereby improving clinical decisions; which is why this book will prove invaluable to professionals who want to increase their understanding of recent challenges in the IoT-enabled healthcare domain. The 14 chapters address various aspects of the IoT system, such as design challenges, theory, various protocols, and implementation issues, and also include several case studies.

Smart Healthcare System: Security and Privacy Aspects covers the introduction, development, and applications of smart healthcare models that represent the current state-of-the-art of various domains. The primary focus will be on theory, algorithms, and their implementation targeted at real-world problems. It will deal with different applications to give the practitioner a flavor of how IoT architectures are designed and introduced into various situations. More particularly, this volume consists of 14 chapters contributed by authors well-versed in the subject who are devoted to reporting the latest findings on smart healthcare system design.

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Коротко о главном в электронной книге темы Программы с идентификатором 65672965:

S. K. Hafizul Islam, Debabrata Samanta, Wiley работа о программах программы

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Machine Learning Approaches for Convergence of IoT and Blockchain

Книга  Machine Learning Approaches for Convergence of IoT and Blockchain созданная Sanjay K. Sharma, Krishna Kant Singh, Akansha Singh, Wiley может относится к жанру программы. Стоимость электронной книги Machine Learning Approaches for Convergence of IoT and Blockchain с идентификатором 65911013 составляет 18083.05 руб.

The digital revolution is characterized by the convergence of technologies, rapidly advancing the 4th industrial revolution thereby blurring the lines between physical, digital and biological objects. The speed of the fourth revolution which evolves at an exponential rate cannot by any means be compared with any previous technologies. AI and IoT employ the interactions and operations in various fields such as home appliances, autonomous vehicles, nanotechnology, robotics, cognitive systems, self-driving cars and wearable devices. The potential of blockchain technology is realized in many sectors as security plays a crucial role everywhere.

This book deeply discusses two of the most critical emerging fields of machine learning: blockchain technology and the Internet of Things.

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Коротко о главном в электронной книге темы Программы с идентификатором 65911013:

Sanjay K. Sharma, Krishna Kant Singh, Akansha Singh, Wiley работа о программах программы

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Скачать ОнЛайн материалы автора Sanjay K. Sharma, Krishna Kant Singh, Akansha Singh, Wiley на устройства FB2 EPUB TXT RTF PDF HTML MOBI форматы. Цена от бесплатной до выставленной и в данном случае стоимость скачивания составляет 18083.05 руб.

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Machine Learning Approaches for Convergence of IoT and Blockchain

Книга  Machine Learning Approaches for Convergence of IoT and Blockchain созданная Krishna Kant Singh, Akansha Singh, Sanjay K. Sharma, Wiley может относится к жанру программы. Стоимость электронной книги Machine Learning Approaches for Convergence of IoT and Blockchain с идентификатором 65911001 составляет 18083.05 руб.

The digital revolution is characterized by the convergence of technologies, rapidly advancing the 4th industrial revolution thereby blurring the lines between physical, digital and biological objects. The speed of the fourth revolution which evolves at an exponential rate cannot by any means be compared with any previous technologies. AI and IoT employ the interactions and operations in various fields such as home appliances, autonomous vehicles, nanotechnology, robotics, cognitive systems, self-driving cars and wearable devices. The potential of blockchain technology is realized in many sectors as security plays a crucial role everywhere.

This book deeply discusses two of the most critical emerging fields of machine learning: blockchain technology and the Internet of Things.

Также имеется ФРАГМЕНТ ТЕКСТА для ознакомления!

Коротко о главном в электронной книге темы Программы с идентификатором 65911001:

Krishna Kant Singh, Akansha Singh, Sanjay K. Sharma, Wiley работа о программах программы

Ниже приведены ТЕГИ, по которым можно посмотреть аналоги книг о компьютерных программах и иных разработках на русском и английском языках, книги и журналы.

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Скачать ОнЛайн материалы автора Krishna Kant Singh, Akansha Singh, Sanjay K. Sharma, Wiley на устройства FB2 EPUB TXT RTF PDF HTML MOBI форматы. Цена от бесплатной до выставленной и в данном случае стоимость скачивания составляет 18083.05 руб.

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Machine Learning Approach for Cloud Data Analytics in IoT

Книга  Machine Learning Approach for Cloud Data Analytics in IoT созданная Monika Mangla, Jyotir Moy Chatterjee, Sirisha Potluri, Sachi Nandan Mohanty, Suneeta Satpathy, Wiley может относится к жанру программы. Стоимость электронной книги Machine Learning Approach for Cloud Data Analytics in IoT с идентификатором 65870037 составляет 18083.05 руб.

Machine Learning Approach for Cloud Data Analytics in IoT The book covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from fundamentals to advanced applications Sustainable computing paradigms like cloud and fog are capable of handling issues related to performance, storage and processing, maintenance, security, efficiency, integration, cost, energy and latency in an expeditious manner. In order to expedite decision-making involved in the complex computation and processing of collected data, IoT devices are connected to the cloud or fog environment. Since machine learning as a service provides the best support in business intelligence, organizations have been making significant investments in this technology. Machine Learning Approach for Cloud Data Analytics in IoT elucidates some of the best practices and their respective outcomes in cloud and fog computing environments. It focuses on all the various research issues related to big data storage and analysis, large-scale data processing, knowledge discovery and knowledge management, computational intelligence, data security and privacy, data representation and visualization, and data analytics. The featured technologies presented in the book optimizes various industry processes using business intelligence in engineering and technology. Light is also shed on cloud-based embedded software development practices to integrate complex machines so as to increase productivity and reduce operational costs. The various practices of data science and analytics which are used in all sectors to understand big data and analyze massive data patterns are also detailed in the book.

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Коротко о главном в электронной книге темы Программы с идентификатором 65870037:

Monika Mangla, Jyotir Moy Chatterjee, Sirisha Potluri, Sachi Nandan Mohanty, Suneeta Satpathy, Wiley работа о программах программы

Ниже приведены ТЕГИ, по которым можно посмотреть аналоги книг о компьютерных программах и иных разработках на русском и английском языках, книги и журналы.

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Скачать ОнЛайн материалы автора Monika Mangla, Jyotir Moy Chatterjee, Sirisha Potluri, Sachi Nandan Mohanty, Suneeta Satpathy, Wiley на устройства FB2 EPUB TXT RTF PDF HTML MOBI форматы. Цена от бесплатной до выставленной и в данном случае стоимость скачивания составляет 18083.05 руб.

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Machine Learning Approach for Cloud Data Analytics in IoT

Книга  Machine Learning Approach for Cloud Data Analytics in IoT созданная Monika Mangla, Jyotir Moy Chatterjee, Sirisha Potluri, Sachi Nandan Mohanty, Suneeta Satpathy, Wiley может относится к жанру программы. Стоимость электронной книги Machine Learning Approach for Cloud Data Analytics in IoT с идентификатором 65852937 составляет 18083.05 руб.

Machine Learning Approach for Cloud Data Analytics in IoT The book covers the multidimensional perspective of machine learning through the perspective of cloud computing and Internet of Things ranging from fundamentals to advanced applications Sustainable computing paradigms like cloud and fog are capable of handling issues related to performance, storage and processing, maintenance, security, efficiency, integration, cost, energy and latency in an expeditious manner. In order to expedite decision-making involved in the complex computation and processing of collected data, IoT devices are connected to the cloud or fog environment. Since machine learning as a service provides the best support in business intelligence, organizations have been making significant investments in this technology. Machine Learning Approach for Cloud Data Analytics in IoT elucidates some of the best practices and their respective outcomes in cloud and fog computing environments. It focuses on all the various research issues related to big data storage and analysis, large-scale data processing, knowledge discovery and knowledge management, computational intelligence, data security and privacy, data representation and visualization, and data analytics. The featured technologies presented in the book optimizes various industry processes using business intelligence in engineering and technology. Light is also shed on cloud-based embedded software development practices to integrate complex machines so as to increase productivity and reduce operational costs. The various practices of data science and analytics which are used in all sectors to understand big data and analyze massive data patterns are also detailed in the book.

Также имеется ФРАГМЕНТ ТЕКСТА для ознакомления!

Коротко о главном в электронной книге темы Программы с идентификатором 65852937:

Monika Mangla, Jyotir Moy Chatterjee, Sirisha Potluri, Sachi Nandan Mohanty, Suneeta Satpathy, Wiley работа о программах программы

Ниже приведены ТЕГИ, по которым можно посмотреть аналоги книг о компьютерных программах и иных разработках на русском и английском языках, книги и журналы.

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Скачать ОнЛайн материалы автора Monika Mangla, Jyotir Moy Chatterjee, Sirisha Potluri, Sachi Nandan Mohanty, Suneeta Satpathy, Wiley на устройства FB2 EPUB TXT RTF PDF HTML MOBI форматы. Цена от бесплатной до выставленной и в данном случае стоимость скачивания составляет 18083.05 руб.

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Emerging Technologies for Healthcare

Книга  Emerging Technologies for Healthcare созданная Thirunavukkarasu K, Monika Mangla, Shahnawaz Khan, Poonam Garg, Vaishali Wadhwa, Nonita Sharma, Wiley может относится к жанру программы. Стоимость электронной книги Emerging Technologies for Healthcare с идентификатором 65916601 составляет 18083.05 руб.

“Emerging Technologies for Healthcare” begins with an IoT-based solution for the automated healthcare sector which is enhanced to provide solutions with advanced deep learning techniques.

The book provides feasible solutions through various machine learning approaches and applies them to disease analysis and prediction. An example of this is employing a three-dimensional matrix approach for treating chronic kidney disease, the diagnosis and prognostication of acquired demyelinating syndrome (ADS) and autism spectrum disorder, and the detection of pneumonia. In addition, it provides healthcare solutions for post COVID-19 outbreaks through various suitable approaches, Moreover, a detailed detection mechanism is discussed which is used to devise solutions for predicting personality through handwriting recognition; and novel approaches for sentiment analysis are also discussed with sufficient data and its dimensions.

This book not only covers theoretical approaches and algorithms, but also contains the sequence of steps used to analyze problems with data, processes, reports, and optimization techniques. It will serve as a single source for solving various problems via machine learning algorithms.

Также имеется ФРАГМЕНТ ТЕКСТА для ознакомления!

Коротко о главном в электронной книге темы Программы с идентификатором 65916601:

Thirunavukkarasu K, Monika Mangla, Shahnawaz Khan, Poonam Garg, Vaishali Wadhwa, Nonita Sharma, Wiley работа о программах программы

Ниже приведены ТЕГИ, по которым можно посмотреть аналоги книг о компьютерных программах и иных разработках на русском и английском языках, книги и журналы.

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Emerging Technologies for Healthcare

Книга  Emerging Technologies for Healthcare созданная Shahnawaz Khan, Poonam Garg, Vaishali Wadhwa, Nonita Sharma, Thirunavukkarasu K, Monika Mangla, Wiley может относится к жанру программы. Стоимость электронной книги Emerging Technologies for Healthcare с идентификатором 65916589 составляет 18083.05 руб.

“Emerging Technologies for Healthcare” begins with an IoT-based solution for the automated healthcare sector which is enhanced to provide solutions with advanced deep learning techniques.

The book provides feasible solutions through various machine learning approaches and applies them to disease analysis and prediction. An example of this is employing a three-dimensional matrix approach for treating chronic kidney disease, the diagnosis and prognostication of acquired demyelinating syndrome (ADS) and autism spectrum disorder, and the detection of pneumonia. In addition, it provides healthcare solutions for post COVID-19 outbreaks through various suitable approaches, Moreover, a detailed detection mechanism is discussed which is used to devise solutions for predicting personality through handwriting recognition; and novel approaches for sentiment analysis are also discussed with sufficient data and its dimensions.

This book not only covers theoretical approaches and algorithms, but also contains the sequence of steps used to analyze problems with data, processes, reports, and optimization techniques. It will serve as a single source for solving various problems via machine learning algorithms.

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Скачать Emerging Technologies for Healthcare ОнЛайн

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Computational Analysis and Deep Learning for Medical Care

Книга  Computational Analysis and Deep Learning for Medical Care созданная Amit Kumar Tyagi, Wiley может относится к жанру программы. Стоимость электронной книги Computational Analysis and Deep Learning for Medical Care с идентификатором 66115277 составляет 18083.05 руб.The book presents the various research areas dealing with the application of different sustainable technologies for enhancing the dyeing and comfort properties of textile materials with substantial reduction in wastewater problems. Increasing environmental and health concerns in the textile industry and fashion sector about the use of large quantities of water and hazardous chemicals in conventional textile finishing processes, has led to the design and development of new dyeing strategies and technologies. Effluents produced from the textile wet processing industry are very diverse in chemical composition, ranging from inorganic finishing agents, surfactants, chlorine compounds, salts and total phosphate to polymers and organic products. This has forced Western countries to exploit their high technical skills for the advancement of textile materials with high quality technical performances, and the development of cleaner production technologies for cost-effective and value-added textile materials. [i]Sustainable Practices in the Textile Industry[/i] focuses on the sophisticated methods for improving dye extraction and dyeing properties which will minimize the use of bioresource products. This book also brings out the innovative ways of wet chemical processing to alleviate the environmental impacts arising from this sector. The book also discusses innovations in eco-friendly methods for textile wet processes and applications of enzymes in textiles in addition to the advancements in the use of nanotechnology for wastewater remediation. Audience Researchers, engineers in the textile industry, textile chemistry and dyeing, chemical engineering, environmental science, and materials science as well as graduate and postgraduate students, will find this book invaluable. Также имеется ФРАГМЕНТ ТЕКСТА для ознакомления!

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Computational Analysis and Deep Learning for Medical Care

Книга  Computational Analysis and Deep Learning for Medical Care созданная Amit Kumar Tyagi, Wiley может относится к жанру программы. Стоимость электронной книги Computational Analysis and Deep Learning for Medical Care с идентификатором 66043617 составляет 18083.05 руб.The book presents the various research areas dealing with the application of different sustainable technologies for enhancing the dyeing and comfort properties of textile materials with substantial reduction in wastewater problems. Increasing environmental and health concerns in the textile industry and fashion sector about the use of large quantities of water and hazardous chemicals in conventional textile finishing processes, has led to the design and development of new dyeing strategies and technologies. Effluents produced from the textile wet processing industry are very diverse in chemical composition, ranging from inorganic finishing agents, surfactants, chlorine compounds, salts and total phosphate to polymers and organic products. This has forced Western countries to exploit their high technical skills for the advancement of textile materials with high quality technical performances, and the development of cleaner production technologies for cost-effective and value-added textile materials. [i]Sustainable Practices in the Textile Industry[/i] focuses on the sophisticated methods for improving dye extraction and dyeing properties which will minimize the use of bioresource products. This book also brings out the innovative ways of wet chemical processing to alleviate the environmental impacts arising from this sector. The book also discusses innovations in eco-friendly methods for textile wet processes and applications of enzymes in textiles in addition to the advancements in the use of nanotechnology for wastewater remediation. Audience Researchers, engineers in the textile industry, textile chemistry and dyeing, chemical engineering, environmental science, and materials science as well as graduate and postgraduate students, will find this book invaluable. Также имеется ФРАГМЕНТ ТЕКСТА для ознакомления!

Коротко о главном в электронной книге темы Программы с идентификатором 66043617:

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Fuzzy Intelligent Systems

Книга  Fuzzy Intelligent Systems созданная G. Suseendran, S. Balamurugan, Hanaa Hachimi, E. Chandrasekaran, R. Anandan, Wiley может относится к жанру программы. Стоимость электронной книги Fuzzy Intelligent Systems с идентификатором 66183245 составляет 18083.05 руб.

Fuzzy Intelligent Systems: Methodologies, Techniques and Applications comprises state-of-the-art chapters detailing how expert systems are built and the fuzzy logic resembling human reasoning powering them. Hybrid and neuro-fuzzy intelligent systems are discussed along with Evolutionary and, in particular, Genetic Algorithms. This approach has been extended by using Multiobjective Evolutionary Algorithms, which can consider multiple conflicting objectives instead of a single one. The book also discusses the hybridization between Multiobjective Evolutionary Algorithms and Fuzzy Systems which is known as Multiobjective Evolutionary Fuzzy Systems.

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Data Analytics in Bioinformatics

Книга  Data Analytics in Bioinformatics созданная Sachi Nandan Mohanty, Suneeta Satpathy, Xiaobo Zhang, Rabinarayan Satpathy, Tanupriya Choudhury, Wiley может относится к жанру программы. Стоимость электронной книги Data Analytics in Bioinformatics с идентификатором 63780255 составляет 18083.05 руб.

Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more.

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Data Analytics in Bioinformatics

Книга  Data Analytics in Bioinformatics созданная Tanupriya Choudhury, Sachi Nandan Mohanty, Suneeta Satpathy, Xiaobo Zhang, Rabinarayan Satpathy, Wiley может относится к жанру программы. Стоимость электронной книги Data Analytics in Bioinformatics с идентификатором 63780220 составляет 18083.05 руб.

Machine learning techniques are increasingly being used to address problems in computational biology and bioinformatics. Novel machine learning computational techniques to analyze high throughput data in the form of sequences, gene and protein expressions, pathways, and images are becoming vital for understanding diseases and future drug discovery. Machine learning techniques such as Markov models, support vector machines, neural networks, and graphical models have been successful in analyzing life science data because of their capabilities in handling randomness and uncertainty of data noise and in generalization. Machine Learning in Bioinformatics compiles recent approaches in machine learning methods and their applications in addressing contemporary problems in bioinformatics approximating classification and prediction of disease, feature selection, dimensionality reduction, gene selection and classification of microarray data and many more.

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