This book covers advances and applications of smart technologies including the Internet of Things (IoT), artificial intelligence, and deep learning in areas such as manufacturing, production, renewable energy, and healthcare. It also covers wearable and implantable biomedical devices for healthcare monitoring, smart surveillance, and monitoring applications such as the use of an autonomous drone for disaster management and rescue operations. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the areas such as electrical engineering, electronics and communications engineering, computer engineering, and information technology.• Covers concepts, theories, and applications of artificial intelligence and deep learning, from the perspective of the Internet of Things.• Discusses powers predictive analysis, predictive maintenance, and automated processes for making manufacturing plants more efficient, profitable, and safe.• Explores the importance of blockchain technology in the Internet of Things security issues.• Discusses key deep learning concepts including trust management, identity management, security threats, access control, and privacy.• Showcases the importance of intelligent algorithms for cloud-based Internet of Things applications.This text emphasizes the importance of innovation and improving the profitability of manufacturing plants using smart technologies such as artificial intelligence, deep learning, and the Internet of Things. It furtherdiscusses applications of smart technologies in diverse sectors such as agriculture, smart home, production, manufacturing, transport, and healthcare.
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The text emphasizes the importance of innovation and improving the profitability of manufacturing plants using smart technologies such as artificial intelligence, deep learning, and the internet of things. It further discusses applications of smart technologies in diverse sectors such as production, manufacturing, transport, and healthcare.
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Chapter 1 Deep Learning Algorithms for Real-Time Healthcare Monitoring SystemsChapter 2 Neural-Network Based An Efficient Hybrid Control Scheme For The Tracking Control Of Autonomous Underwater VehiclesChapter 3 Integrated Storage Allocation and Privacy Preserve Deduplication Process Over Cloud Using Dekey MethodChapter 4 Internet of Things for Smart Cities: Application and challengesChapter 5 IoTBased Garbage Monitoring System with Proposed Machine Learning Model for Smart CityChapter 6 Application of Natural language Processing and IOT to emulate Virtual ReceptionistChapter 7 An Overview: - Understanding of Image FusionChapter 8 Meta-Heuristics Algorithm For OptimizationChapter 9 Internet of Medical Things devices: A ReviewChapter 10 COVID-19 Patient Remote Health Monitoring System using IoTChapter 11 Neural Network-Based Machine Learning Model for Prediction of Blood AlanineChapter 12 Hybrid Algorithm for detection of COVID-19 using CNN and SVMChapter 13 Deep Learning Algorithms for IoTBased Hybrid Sensor using Big Data AnalyticsChapter 14 Delineation of landslide hazard zones of a part of Sutlej basin in Himachal Pradesh through frequency ratio modelChapter 15 Crop Recommendation System using Machine Learning AlgorithmsChapter 16 Impacts of Artificial Intelligence, Deep Learning and Internet of ThingsChapter 17 A Support Vector Machine based Deep learning Approach for object detectionChapter 18 Artificial intelligence and IOT based Electric Grid: Future of Micro GridChapter 19 An Analysis of Artificial Intelligence Initiatives and Programmes in IndiaChapter 20 A Vital Fusion of Internet-of-Medical Things and Blockchain to Transform Data Privacy and Security
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Produktdetaljer

ISBN
9781032391717
Publisert
2022-12-27
Utgiver
Vendor
CRC Press
Vekt
766 gr
Høyde
234 mm
Bredde
156 mm
Aldersnivå
U, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet
Antall sider
312