› › Internet Of Things And Machine Learning For Type I And Type Ii Diabetes

Internet of Things and Machine Learning for Type I and Type II Diabetes

Author : Sujata Dash

Publisher : Elsevier

Page : 450 pages

File Size : 33,35 MB

Release : 2024-07-15

Category : Medical

ISBN : 0323956939

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Book Description

Internet of Things and Machine Learning for?Type I and Type II Diabetes: Use Cases provides a medium of exchange of expertise and addresses the concerns, needs, and problems associated with Type I and Type II diabetes. Expert contributions come from researchers across biomedical, data mining, and deep learning. This is an essential resource for both the AI and Biomedical research community, crossing various sectors for broad coverage of the concepts, themes, and instrumentalities of this important and evolving area. Coverage includes IoT, AI, Deep Learning, Machine Learning and Big Data Analytics for diabetes and health informatics. Integrates many Machine learning techniques in biomedical domain to detect various types of diabetes to utilizing large volumes of available diabetes-related data for extracting knowledge It integrates data mining and IoT techniques to monitor diabetes patients using their medical records (HER) and administrative data Includes clinical applications to highlight contemporary use of these machine learning algorithms and artificial intelligence-driven models beyond research settings



Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing

Author : Velayutham, Sathiyamoorthi

Publisher : IGI Global

Page : 350 pages

File Size : 13,45 MB

Release : 2021-01-29

Category : Computers

ISBN : 1799831132

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Book Description

In today’s market, emerging technologies are continually assisting in common workplace practices as companies and organizations search for innovative ways to solve modern issues that arise. Prevalent applications including internet of things, big data, and cloud computing all have noteworthy benefits, but issues remain when separately integrating them into the professional practices. Significant research is needed on converging these systems and leveraging each of their advantages in order to find solutions to real-time problems that still exist. Challenges and Opportunities for the Convergence of IoT, Big Data, and Cloud Computing is a pivotal reference source that provides vital research on the relation between these technologies and the impact they collectively have in solving real-world challenges. While highlighting topics such as cloud-based analytics, intelligent algorithms, and information security, this publication explores current issues that remain when attempting to implement these systems as well as the specific applications IoT, big data, and cloud computing have in various professional sectors. This book is ideally designed for academicians, researchers, developers, computer scientists, IT professionals, practitioners, scholars, students, and engineers seeking research on the integration of emerging technologies to solve modern societal issues.



Microelectronics, Communication Systems, Machine Learning and Internet of Things

Author : Vijay Nath

Publisher : Springer Nature

Page : 698 pages

File Size : 40,87 MB

Release : 2022-07-11

Category : Technology & Engineering

ISBN : 9811919062

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Book Description

This volume presents peer-reviewed papers of the First International Conference on Microelectronics, Communication Systems, Machine Learning, and the Internet of Things (MCMI-2020). This book discusses recent trends in technology and advancement in microelectronics, nano-electronics, VLSI design, IC technologies, wireless communications, optical communications, SoC, advanced instrumentations, signal processing, internet of things, machine learning, image processing, green energy, hybrid vehicles, weather forecasting, cloud computing, renewable energy, CMOS sensors, actuators, RFID, transducers, real-time embedded system, sensor network and applications, EDA design tools and techniques, fuzzy logic & artificial intelligence, high-performance computer architecture, AI-based robotics & applications, brain-computer interface, deep learning, advanced operating systems, supply chain development & monitoring, physical systems design, ICT applications, e-farming, information security, etc. It includes original papers based on theoretical, practical, experimental, simulations, development, application, measurement, and testing. The applications and solutions discussed in the book will serve as good reference material for young scholars, researchers, and academics.



Intelligent Internet of Things for Healthcare and Industry

Author : Uttam Ghosh

Publisher : Springer Nature

Page : 388 pages

File Size : 23,96 MB

Release : 2022

Category : Application software

ISBN : 3030814734

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Book Description

This book promotes and facilitates exchanges of research knowledge and findings across different disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures. This book is focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives. The data analytics discussed are relevant for healthcare and industry to meet many technical challenges and issues that need to be addressed to realize this potential. The IoT discussed helps to design and develop the intelligent medical and industry solutions assisted by data analytics and machine learning. At the end of every chapter readers are encouraged to check their understanding by means of brainstorming summary, discussion, exercises and solutions. Focused on the emerging trends, strategies, and applications of IoT in both healthcare and industry data analytics perspectives; Promotes an exchange of research across disciplines on the design and investigation of machine learning-based data analytics of IoT infrastructures; Features case studies emphasizing social and research perspectives on cyber-physical systems, data analytics, intelligence and security.



Emerging Technologies for Healthcare

Author : Monika Mangla

Publisher : John Wiley & Sons

Page : 418 pages

File Size : 19,1 MB

Release : 2021-07-20

Category : Computers

ISBN : 1119792320

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Book Description

?Emerging Technologies for Healthcare? beginnt mit einer IoT-basierten Lösung für die Automatisierung im Gesundheitssektor, wodurch Verfahren auf Grundlage von fortschrittlichen Deep-Learning-Techniken ermöglicht werden. Praktische Lösungen, die auf verschiedenen Ansätzen des maschinellen Lernens beruhen, werden vorgestellt und auf die Analyse und Vorhersage von Krankheiten angewandt. Ein Beispiel ist die Nutzung einer dreidimensionalen Matrix für die Behandlung chronischer Nierenerkrankungen, die Diagnose und Prognose des erworbenen demyelinisierenden Syndroms und von Autismus-Spektrum-Störungen sowie die Erkennung von Lungenentzündungen. Außerdem werden verschiedene geeignete Ansätze vorgestellt, wie die Gesundheitssysteme mit COVID-19-Fällen umgehen können. Daneben wird ein detaillierter Erkennungsmechanismus dargelegt, mit dessen Hilfe Lösungen entwickelt werden können, um von der Handschrift auf die Persönlichkeit zu schließen, und es werden neuartige Ansätze für die Stimmungsanalyse aufgezeigt, die mit ausreichenden Daten und verschiedenen Betrachtungsweisen untermauert sind. Dieses Buch enthält nicht nur theoretische Ansätze und Algorithmen, sondern zeigt auch auf, welche Schritte bei der Problemanalyse mithilfe von Daten, Prozessen, Berichten und Optimierungstechniken durchlaufen werden. Es ist ein umfassendes Nachschlagewerk für die Lösung verschiedener Probleme anhand von Algorithmen für das maschinelle Lernen.



Internet of Medical Things

Author : D. Jude Hemanth

Publisher : Springer Nature

Page : 265 pages

File Size : 38,30 MB

Release : 2021-04-13

Category : Technology & Engineering

ISBN : 3030639371

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Book Description

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 aspects of IoMT are still being researched and developed, with the objective of minimizing the cost and improving the performance of the overall healthcare system. This book focuses on innovative IoMT methods and solutions being developed for use in the application of healthcare services, including post-surgery care, virtual home assistance, smart real-time patient monitoring, implantable sensors and cameras, and diagnosis and treatment planning. It also examines critical issues around the technology, such as security vulnerabilities, IoMT machine learning approaches, and medical data compression for lossless data transmission and archiving. Internet of Medical Things is a valuable reference for researchers, students, and postgraduates working in biomedical, electronics, and communications engineering, as well as practicing healthcare professionals.



Internet of Things in Modern Computing

Author : Vinay Chowdary

Publisher : CRC Press

Page : 260 pages

File Size : 23,19 MB

Release : 2023-07-13

Category : Technology & Engineering

ISBN : 1000904733

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Book Description

The text focuses on the theory, design, and implementation of the Internet of Things (IoT), in a modern communication system. It will be useful to senior undergraduate, graduate students, and researchers in diverse fields domains including electrical engineering, electronics and communications engineering, computer engineering, and information technology. Features: Presents all the necessary information on the Internet of Things in modern computing Examines antenna integration challenges and constraints in the Internet of Things devices Discusses advanced Internet of Things networks and advanced controllers required for modern architecture Explores security and privacy challenges for the Internet of Things-based health care system Covers implementation of Internet of Things security protocols such as MQTT, Advanced Message Queuing Protocol, XMPP, and DSS The text addresses the issues and challenges in implementing communication and security protocols for IoT in modern computing. It further highlights the applications of IoT in diverse areas including remote health monitoring, remote monitoring of vehicle data and environmental characteristics, industry 4.0, 5G communications, and Next-gen IoT networks. The text presents case studies on IoT in modern digital computing. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in diverse fields domains including electrical engineering, electronics and communications engineering, computer engineering, and information technology.



Deep Learning and IoT in Healthcare Systems

Author : Krishna Kant Singh

Publisher : CRC Press

Page : 348 pages

File Size : 34,15 MB

Release : 2021-12-15

Category : Computers

ISBN : 1000089142

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Book Description

This new volume discusses the applications and challenges of deep learning and the internet of things for applications in healthcare. It describes deep learning techniques in conjunction with IoT used by practitioners and researchers worldwide. The authors explore 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. The text also offers mathematical and conceptual background that presents the latest technology as well as a selection of case studies.



Machine Learning and IoT

Author : Shampa Sen

Publisher : CRC Press

Page : 372 pages

File Size : 41,15 MB

Release : 2018-07-04

Category : Computers

ISBN : 1351029924

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Book Description

This book discusses some of the innumerable ways in which computational methods can be used to facilitate research in biology and medicine - from storing enormous amounts of biological data to solving complex biological problems and enhancing treatment of various grave diseases.



Internet of Things-Based Machine Learning in Healthcare

Author : Prasenjit Dey

Publisher : CRC Press

Page : 242 pages

File Size : 24,67 MB

Release : 2024-06-10

Category : Computers

ISBN : 1040031854

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Book Description

The Internet of Medical Things (IoMT) is a system that collects data from patients with the help of different sensory inputs, e.g., an accelerometer, electrocardiography, and electroencephalography. This text presents both theoretical and practical concepts related to the application of machine learning and Internet of Things (IoT) algorithms in analyzing data generated through healthcare systems. Illustrates the latest technologies in the healthcare domain and the Internet of Things infrastructure for storing smart electronic health records Focuses on the importance of machine learning algorithms and the significance of Internet of Things infrastructure for healthcare systems Showcases the application of fog computing architecture and edge computing in novel aspects of modern healthcare services Discusses unsupervised genetic algorithm-based automatic heart disease prediction Covers Internet of Things–based hardware mechanisms and machine learning algorithms to predict the stress level of patients The text is primarily written for graduate students and academic researchers in the fields of computer science and engineering, biomedical engineering, electrical engineering, and information technology.