Cognitive Internet of Medical Things for Smart Healthcare

This book PDF is perfect for those who love Technology & Engineering genre, written by Aboul Ella Hassanien and published by Springer Nature which was released on 19 October 2020 with total hardcover pages 227. You could read this book directly on your devices with pdf, epub and kindle format, check detail and related Cognitive Internet of Medical Things for Smart Healthcare books below.

Cognitive Internet of Medical Things for Smart Healthcare
Author : Aboul Ella Hassanien
File Size : 55,9 Mb
Publisher : Springer Nature
Language : English
Release Date : 19 October 2020
ISBN : 9783030558338
Pages : 227 pages
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Cognitive Internet of Medical Things for Smart Healthcare by Aboul Ella Hassanien Book PDF Summary

This book aims to provide a detailed understanding of IoMT-supported applications while engaging premium smart computing methods and improved algorithms in the field of computer science. It contains thirteen chapters discussing various applications under the umbrella of the Internet of Medical Things. These applications geared towards IoMT cloud analysis, machine learning, computer vision and deep learning have enabled the evaluation of the proposed solutions.

Cognitive Internet of Medical Things for Smart Healthcare

This book aims to provide a detailed understanding of IoMT-supported applications while engaging premium smart computing methods and improved algorithms in the field of computer science. It contains thirteen chapters discussing various applications under the umbrella of the Internet of Medical Things. These applications geared towards IoMT cloud analysis, machine

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Internet of Medical Things for Smart Healthcare

This book covers COVID-19 related research works and focuses on recent advances in the Internet of Things (IoT) in smart healthcare technologies. It includes reviews and original works on COVID-19 in terms of e-healthcare, medicine technology, life support systems, fast detection, diagnoses, developed technologies and innovative solutions, bioinformatics, datasets, apps

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Internet of Medical Things

This book looks at the growing segment of Internet of Things technology (IoT) known as Internet of Medical Things (IoMT), an automated system that aids in bridging the gap between isolated and rural communities and the critical healthcare services that are available in more populated and urban areas. Many technological

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Machine Learning and the Internet of Medical Things in Healthcare discusses the applications and challenges of machine learning for healthcare applications. The book provides a platform for presenting machine learning-enabled healthcare techniques and offers a mathematical and conceptual background of the latest technology. It describes machine learning techniques along with

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Smart healthcare technology improves the diagnosis and treatment of patients, provides easy access to medical facilities and emergency care services, and minimizes the gaps between patients and healthcare providers. While clinical data protection remains a major challenge, innovations such as the internet of medical things and smart healthcare systems increase

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The book focuses on developments in artificial intelligence (AI) and internet of things (IoT) integration for smart healthcare, with an emphasis on current methodologies and frameworks for the design, growth, implementation, and creative use of such convergence technologies to provide insight into smart healthcare service demands. Concepts like signal recognition,

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Internet of Medical Things in Smart Healthcare

Download or read online Internet of Medical Things in Smart Healthcare written by Krishnan Saravanan,Aboobucker Ilmudeen, published by Unknown which was released on 2023-09. Get Internet of Medical Things in Smart Healthcare Books now! Available in PDF, ePub and Kindle.

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Healthcare Paradigms in the Internet of Things Ecosystem

Health Care Paradigms in the Internet of Things Ecosystem brings all IoT-enabled health care related technologies into a single platform so that undergraduate and postgraduate students, researchers, academicians and industry leaders can easily understand IoT-based healthcare systems. The book uses data and network engineering and intelligent decision support system-by-design principles

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