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Advanced Healthcare Systems: Empowering Physicians with Iot-Enabled Technologies, Tanwar Rohit, Balamurugan S., Saini Rakesh Kumar


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Автор: Tanwar Rohit, Balamurugan S., Saini Rakesh Kumar
Название:  Advanced Healthcare Systems: Empowering Physicians with Iot-Enabled Technologies
ISBN: 9781119768869
Издательство: Wiley
Классификация:

ISBN-10: 1119768861
Обложка/Формат: Hardcover
Страницы: 384
Вес: 0.68 кг.
Дата издания: 02.03.2022
Серия: Artificial intelligence and soft computing for industrial transformation
Язык: English
Размер: 22.86 x 15.24 x 2.24 cm
Читательская аудитория: Professional & vocational
Подзаголовок: Empowering physicians with iot-enabled technologies
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Dieses Werk, das sich umfassend mit der EinfГ1/4hrung von maschinellem Lernen, KI und dem IoT im Gesundheitswesen beschдftigt, richtet sich an Forschende, Fachkrдfte im Gesundheitswesen, Wissenschaftler und Technologen.

Die Nutzung von maschinellem Lernen und kГ1/4nstlicher Intelligenz im Internet der Dinge (IoT) fГ1/4r Anwendungen im Gesundheitswesen sowie die damit einhergehenden Herausforderungen werden ausfГ1/4hrlich erцrtert.

Das IoT erzeugt gewaltige Datenmengen von unterschiedlicher Qualitдt. Die intelligente Verarbeitung und Analyse dieser Datenmengen sind der SchlГ1/4ssel zur Entwicklung intelligenter IoT-Anwendungen, wodurch Raum fГ1/4r die Nutzung des maschinellen Lernens (ML) geschaffen wird. Mit ihren Recheninstrumenten, die bei der Erledigung bestimmter Aufgaben die menschliche Intelligenz ersetzen kцnnen, macht es die kГ1/4nstliche Intelligenz (KI) mцglich, dass Computer aus Erfahrung lernen, sich an neue Eingaben anpassen und bisher von Menschen durchgefГ1/4hrte Aufgaben Г1/4bernehmen. Da IoT-Plattformen eine Schnittstelle bieten, um Daten von unterschiedlichen Gerдten zusammenzutragen, lassen sie sich leicht mit AI/ML-Systemen verbinden. Vor diesen Hintergrund besteht der Wert der KI in ihrer Fдhigkeit, schnell Erkenntnisse aus Daten zu gewinnen, automatisch Muster zu erkennen und Anomalien in den von intelligenten Sensoren und Gerдten erzeugten Daten zu erkennen ? aus Angaben zu Temperatur, Druck, Luftfeuchtigkeit, Luftqualitдt, Schwingungen und Gerдuschen ? die fГ1/4r eine schnelle Diagnose extrem hilfreich sein kцnnen.



Ai-Enabled Threat Detection and Security Analysis for Industrial Iot

Автор: Karimipour Hadis, Derakhshan Farnaz
Название: Ai-Enabled Threat Detection and Security Analysis for Industrial Iot
ISBN: 3030766128 ISBN-13(EAN): 9783030766122
Издательство: Springer
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Цена: 22359.00 р.
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Описание: Artificial Intelligence for Threat Detection and Analysis in Industrial IoT: Applications and Challenges.- Complementing IIoT Services through AI: Feasibility and Suitability.- Data Security and Privacy in Industrial IoT.- Blockchain Applications in the Industrial Internet of Things.- Application of Deep Learning on IoT-enabled Smart Grid Monitoring.- Cyber Security of Smart Manufacturing Execution Systems: A Bibliometric Analysis.- The Role of Machine Learning in IIoT Through FPGAs.- Deep Representation Learning for Cyber-Attack Detection in Industrial IoT.- Classification and Intelligent Mining of Anomalies in Industrial IoT.- A Snapshot Ensemble Deep Neural Network Model for Attack Detection in Industrial Internet of Things.- Privacy Preserving Federated Learning Solution for Security of Industrial Cyber Physical Systems.- A Multi-Stage Machine Learning Model for Security Analysis in Industrial Control System.- A Recurrent Attention Model for Cyber Attack Classification.

Blockchain for 5g-Enabled Iot: The New Wave for Industrial Automation

Автор: Tanwar Sudeep
Название: Blockchain for 5g-Enabled Iot: The New Wave for Industrial Automation
ISBN: 3030674894 ISBN-13(EAN): 9783030674892
Издательство: Springer
Цена: 11878.00 р.
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Описание: This book addresses one of the most overlooked practical, methodological, and moral questions in the journey to secure and handle the massive amount of data being generated from smart devices interactions: the integration of Blockchain with 5G-enabled IoT.

Semantic-Enabled Advancements on the Web: Applications Across Industries

Автор: Amit P. Sheth
Название: Semantic-Enabled Advancements on the Web: Applications Across Industries
ISBN: 146660185X ISBN-13(EAN): 9781466601857
Издательство: Mare Nostrum (Eurospan)
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Цена: 27720.00 р.
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Описание: Reviews current and future trends in Semantic Web research with the aim of making existing and potential applications more accessible to a broader community of academics, practitioners, and industry professionals. Covering topics including recommendation systems, semantic search, and ontologies, this reference is a valuable contribution to the existing literature in this discipline.

Intelligence Enabled Research: Dosier 2020

Автор: Bhattacharyya Siddhartha, Dutta Paramartha, Datta Kakali
Название: Intelligence Enabled Research: Dosier 2020
ISBN: 9811592896 ISBN-13(EAN): 9789811592898
Издательство: Springer
Цена: 13974.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book gathers extended versions of papers presented at DoSIER 2020 (the Second Doctoral Symposium on Intelligence Enabled Research, held at Visva-Bharati University, Santiniketan, West Bengal, India, during 12-13 August 2020).

Advanced Energy Technologies and Systems I

Автор: Zaporozhets Artur
Название: Advanced Energy Technologies and Systems I
ISBN: 303085745X ISBN-13(EAN): 9783030857455
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book focuses on modern technologies and systems for solving problems in the energy sector. New technologies for the construction of power plants based on renewable energy sources have been proposed and investigated.

Advanced Intelligent Computational Technologies and Decision Support Systems

Автор: Barna Iantovics; Roumen Kountchev
Название: Advanced Intelligent Computational Technologies and Decision Support Systems
ISBN: 3319033875 ISBN-13(EAN): 9783319033877
Издательство: Springer
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Цена: 15672.00 р.
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Описание: This book offers ideas, algorithms and case studies on such topics as intelligent predictive diagnosis; analysis of medical images; Medical Decision Support Systems; computational tools for fetal monitoring; Electronic Healthcare Record Systems and more.

Advanced Intelligent Computational Technologies and Decision Support Systems

Автор: Barna Iantovics; Roumen Kountchev
Название: Advanced Intelligent Computational Technologies and Decision Support Systems
ISBN: 3319004662 ISBN-13(EAN): 9783319004662
Издательство: Springer
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Цена: 19564.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book offers ideas, algorithms and case studies on such topics as intelligent predictive diagnosis; analysis of medical images; Medical Decision Support Systems; computational tools for fetal monitoring; Electronic Healthcare Record Systems and more.

Advanced Technologies, Systems, and Applications II

Автор: Mirsad Had?ikadi?; Samir Avdakovi?
Название: Advanced Technologies, Systems, and Applications II
ISBN: 331989062X ISBN-13(EAN): 9783319890623
Издательство: Springer
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Цена: 41925.00 р.
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Описание: Presents Innovative and Interdisciplinary Applications of Advanced Technologies
Scientific outcome of the 9th DAYS OF BHAAAS (Bosnian-HerzegovianAmerican Academy of Arts and Sciences) held in Teslic, Banja Vrucica, Teslic, Bosnia&Herzegovina at May 25. - 28. 2017

The book presents multidisciplinary topics from various disciplines such as of complex systems, biomedial engineering, power systems, power systems or mechanical engineering

Intelligence Enabled Research

Автор: Siddhartha Bhattacharyya; Sushmita Mitra; Paramart
Название: Intelligence Enabled Research
ISBN: 9811520208 ISBN-13(EAN): 9789811520204
Издательство: Springer
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Цена: 6986.00 р.
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Описание: This book gathers extended versions of papers presented at DoSIER 2019 (the First Doctoral Symposium on Intelligence Enabled Research, organized by RCC Institute of Information Technology, Kolkata, India).

Advanced Information Technologies for Industrial Material Flow Systems

Автор: Shimon Y. Nof; Colin L. Moodie
Название: Advanced Information Technologies for Industrial Material Flow Systems
ISBN: 3642745776 ISBN-13(EAN): 9783642745775
Издательство: Springer
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Цена: 14673.00 р.
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Описание: Proceedings of the NATO Advanced Research Workshop on Advanced Information Technologies for Industrial Material Flow Systems held in Grenoble, France, June 13-17, 1988

Advanced Technologies, Systems, and Applications VI: Proceedings of the International Symposium on Innovative and Interdisciplinary Applications of Ad

Автор: Ademovic Naida, Mujčic Edin, Aksamija Zlatan
Название: Advanced Technologies, Systems, and Applications VI: Proceedings of the International Symposium on Innovative and Interdisciplinary Applications of Ad
ISBN: 3030900541 ISBN-13(EAN): 9783030900540
Издательство: Springer
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Цена: 32142.00 р.
Наличие на складе: Поставка под заказ.

Описание: This book presents the innovative and interdisciplinary application of advanced technologies. The latest developments in various fields of engineering have been presented through various papers in civil engineering, mechanical engineering, computing, electrical and electronics engineering, and others.

Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles

Автор: Liu Teng
Название: Reinforcement Learning-Enabled Intelligent Energy Management for Hybrid Electric Vehicles
ISBN: 1681736209 ISBN-13(EAN): 9781681736204
Издательство: Mare Nostrum (Eurospan)
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Цена: 9286.00 р.
Наличие на складе: Нет в наличии.

Описание:

Powertrain electrification, fuel decarburization, and energy diversification are techniques that are spreading all over the world, leading to cleaner and more efficient vehicles.

Hybrid electric vehicles (HEVs) are considered a promising technology today to address growing air pollution and energy deprivation. To realize these gains and still maintain good performance, it is critical for HEVs to have sophisticated energy management systems. Supervised by such a system, HEVs could operate in different modes, such as full electric mode and power split mode. Hence, researching and constructing advanced energy management strategies (EMSs) is important for HEVs performance. There are a few books about rule- and optimization-based approaches for formulating energy management systems. Most of them concern traditional techniques and their efforts focus on searching for optimal control policies offline. There is still much room to introduce learning-enabled energy management systems founded in artificial intelligence and their real-time evaluation and application.

In this book, a series hybrid electric vehicle was considered as the powertrain model, to describe and analyze a reinforcement learning (RL)-enabled intelligent energy management system. The proposed system can not only integrate predictive road information but also achieve online learning and updating. Detailed powertrain modeling, predictive algorithms, and online updating technology are involved, and evaluation and verification of the presented energy management system is conducted and executed.


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