Sachi Nandan Mohanty

Integration of Cloud Computing with Internet of Things

The book aims to integrate the aspects of IoT, Cloud computing and data analytics from diversified perspectives. The book also plans to discuss the recent research trends and advanced topics in the field which will be of interest to academicians and researchers working in this area. Thus, the book intends to help its readers to understand and explore the spectrum of applications of IoT, cloud computing and data analytics.

Here, it is also worth mentioning that the book is believed to draw attention on the applications of said technology in various disciplines in order to obtain enhanced understanding of the readers. Also, this book focuses on the researches and challenges in the domain of IoT, Cloud computing and Data analytics from perspectives of various stakeholders.

Также имеется ФРАГМЕНТ ТЕКСТА для ознакомления!

Коротко о главном в электронной книге темы Программы с идентификатором 64356680:

Bhagirathi Nayak, Sachi Nandan Mohanty, Suneeta Satpathy, Monika Mangla, 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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Integration of Cloud Computing with Internet of Things

The book aims to integrate the aspects of IoT, Cloud computing and data analytics from diversified perspectives. The book also plans to discuss the recent research trends and advanced topics in the field which will be of interest to academicians and researchers working in this area. Thus, the book intends to help its readers to understand and explore the spectrum of applications of IoT, cloud computing and data analytics.

Here, it is also worth mentioning that the book is believed to draw attention on the applications of said technology in various disciplines in order to obtain enhanced understanding of the readers. Also, this book focuses on the researches and challenges in the domain of IoT, Cloud computing and Data analytics from perspectives of various stakeholders.

Также имеется ФРАГМЕНТ ТЕКСТА для ознакомления!

Коротко о главном в электронной книге темы Программы с идентификатором 64356665:

Monika Mangla, Bhagirathi Nayak, 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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Электронная книга в жанре программы для обучения и всестороннего развития.

Скачать ОнЛайн материалы автора Monika Mangla, Bhagirathi Nayak, 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 18073.65 руб.

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Machine Learning for Healthcare Applications

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.

Также имеется ФРАГМЕНТ ТЕКСТА для ознакомления!

Коротко о главном в электронной книге темы Программы с идентификатором 64638500:

Sachi Nandan Mohanty, G. Nalinipriya, Om Prakash Jena, Achyuth Sarkar, 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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Machine Learning for Healthcare Applications

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.

Также имеется ФРАГМЕНТ ТЕКСТА для ознакомления!

Коротко о главном в электронной книге темы Программы с идентификатором 65064860:

G. Nalinipriya, Om Prakash Jena, Achyuth Sarkar, Sachi Nandan Mohanty, 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 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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Machine Learning Approach for Cloud Data Analytics in IoT

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 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

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.

Скачать Machine Learning Approach for Cloud Data Analytics in IoT ОнЛайн

Электронная книга в жанре программы для обучения и всестороннего развития.

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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Data Structure and Algorithms Using C++

Everyone knows that programming plays a vital role as a solution to automate and execute a task in a proper manner. Irrespective of mathematical problems, the skills of programming are necessary to solve any type of problems that may be correlated to solve real life problems efficiently and effectively. This book is intended to flow from the basic concepts of C++ to technicalities of the programming language, its approach and debugging. The chapters of the book flow with the formulation of the problem, it's designing, finding the step-by-step solution procedure along with its compilation, debugging and execution with the output. Keeping in mind the learner’s sentiments and requirements, the exemplary programs are narrated with a simple approach so that it can lead to creation of good programs that not only executes properly to give the output, but also enables the learners to incorporate programming skills in them. The style of writing a program using a programming language is also emphasized by introducing the inclusion of comments wherever necessary to encourage writing more readable and well commented programs. As practice makes perfect, each chapter is also enriched with practice exercise questions so as to build the confidence of writing the programs for learners. The book is a complete and all-inclusive handbook of C++ that covers all that a learner as a beginner would expect, as well as complete enough to go ahead with advanced programming. This book will provide a fundamental idea about the concepts of data structures and associated algorithms. By going through the book, the reader will be able to understand about the different types of algorithms and at which situation and what type of algorithms will be applicable.

Также имеется ФРАГМЕНТ ТЕКСТА для ознакомления!

Коротко о главном в электронной книге темы Программы с идентификатором 63711525:

Sachi Nandan Mohanty, Pabitra Kumar Tripathy, 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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Data Analytics in Bioinformatics

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.

Также имеется ФРАГМЕНТ ТЕКСТА для ознакомления!

Коротко о главном в электронной книге темы Программы с идентификатором 63780255:

Sachi Nandan Mohanty, Suneeta Satpathy, Xiaobo Zhang, Rabinarayan Satpathy, Tanupriya Choudhury, 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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Data Analytics in Bioinformatics

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.

Также имеется ФРАГМЕНТ ТЕКСТА для ознакомления!

Коротко о главном в электронной книге темы Программы с идентификатором 63780220:

Tanupriya Choudhury, Sachi Nandan Mohanty, Suneeta Satpathy, Xiaobo Zhang, Rabinarayan Satpathy, Wiley работа о программах программы

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Data Structure and Algorithms Using C++

Everyone knows that programming plays a vital role as a solution to automate and execute a task in a proper manner. Irrespective of mathematical problems, the skills of programming are necessary to solve any type of problems that may be correlated to solve real life problems efficiently and effectively. This book is intended to flow from the basic concepts of C++ to technicalities of the programming language, its approach and debugging. The chapters of the book flow with the formulation of the problem, it's designing, finding the step-by-step solution procedure along with its compilation, debugging and execution with the output. Keeping in mind the learner’s sentiments and requirements, the exemplary programs are narrated with a simple approach so that it can lead to creation of good programs that not only executes properly to give the output, but also enables the learners to incorporate programming skills in them. The style of writing a program using a programming language is also emphasized by introducing the inclusion of comments wherever necessary to encourage writing more readable and well commented programs. As practice makes perfect, each chapter is also enriched with practice exercise questions so as to build the confidence of writing the programs for learners. The book is a complete and all-inclusive handbook of C++ that covers all that a learner as a beginner would expect, as well as complete enough to go ahead with advanced programming. This book will provide a fundamental idea about the concepts of data structures and associated algorithms. By going through the book, the reader will be able to understand about the different types of algorithms and at which situation and what type of algorithms will be applicable.

Также имеется ФРАГМЕНТ ТЕКСТА для ознакомления!

Коротко о главном в электронной книге темы Программы с идентификатором 63711560:

Sachi Nandan Mohanty, Pabitra Kumar Tripathy, Wiley работа о программах программы

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