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 Название: Deep Learning and IoT in Healthcare Systems: Paradigms and Applications
Автор: Krishna Kant Singh, PhD, Akansha Singh, PhD
Издательство: CRC Press, Apple Academic Press
Год: 2022
Страниц: 349
Язык: английский
Формат: pdf (true)
Размер: 24.1 MB
This new volume discusses the applications and challenges of Deep Learning and the Internet of Things (IoT) for applications in healthcare. It describes Deep Learning techniques along with IoT used by practitioners and researchers worldwide. The text offers mathematical and conceptual background presenting the latest technology.
The authors look at the role and impact that Deep Learning and the IoT plays in healthcare systems, such as the convergence of IoT and Deep Learning to enable things to communicate, share information, and coordinate decisions. The book includes deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology.
Chapters look at assistive devices in healthcare, alerting and detection devices, energy efficiency in using IoT, data mining for gathering health information for individuals with autism, IoT for mobile applications, and more.
Today, IoT is one of the fastest growing fields, and it is being widely used in a variety of industries. One of the major applications of IoT is in remote healthcare monitoring systems. IoT-based systems are developed by a combination of various techniques such as wireless communication, sensor technology, and, most importantly, data processing. Deep learning is being recognized as one of the most efficient techniques in data processing. The convergence of IoT and deep learning enables things to communicate, share information, and coordinate decisions.
This book is an amalgamation of theory, mathematics, and examples of the discussed technologies. It will be relevant for all levels of students studying Computer Science or electronics. The target audience includes students, teachers, as well as industry people.
This book will provide the recent paradigms of deep learning and IoT for healthcare applications. Readers will get a deep insight into the fundamentals of Deep Learning and IoT individually. Thereafter, the convergence of Deep Learning and IoT is presented. The application of these two fields in healthcare industry is also presented.
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