Convergence of Deep Learning and Artificial Intelligence in Internet of Things
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Convergence of Deep Learning and Artificial Intelligence in Internet of Things

Convergence of Deep Learning and Artificial Intelligence in Internet of Things

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About the Book

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 further discusses applications of smart technologies in diverse sectors such as agriculture, smart home, production, manufacturing, transport, and healthcare.

Table of Contents:
Chapter 1 Deep Learning Algorithms for Real-Time Healthcare Monitoring Systems Chapter 2 Neural-Network Based An Efficient Hybrid Control Scheme For The Tracking Control Of Autonomous Underwater Vehicles Chapter 3 Integrated Storage Allocation and Privacy Preserve Deduplication Process Over Cloud Using Dekey Method Chapter 4 Internet of Things for Smart Cities: Application and challenges Chapter 5 IoTBased Garbage Monitoring System with Proposed Machine Learning Model for Smart City Chapter 6 Application of Natural language Processing and IOT to emulate Virtual Receptionist Chapter 7 An Overview: - Understanding of Image Fusion Chapter 8 Meta-Heuristics Algorithm For Optimization Chapter 9 Internet of Medical Things devices: A Review Chapter 10 COVID-19 Patient Remote Health Monitoring System using IoT Chapter 11 Neural Network-Based Machine Learning Model for Prediction of Blood Alanine Chapter 12 Hybrid Algorithm for detection of COVID-19 using CNN and SVM Chapter 13 Deep Learning Algorithms for IoTBased Hybrid Sensor using Big Data Analytics Chapter 14 Delineation of landslide hazard zones of a part of Sutlej basin in Himachal Pradesh through frequency ratio model Chapter 15 Crop Recommendation System using Machine Learning Algorithms Chapter 16 Impacts of Artificial Intelligence, Deep Learning and Internet of Things Chapter 17 A Support Vector Machine based Deep learning Approach for object detection Chapter 18 Artificial intelligence and IOT based Electric Grid: Future of Micro Grid Chapter 19 An Analysis of Artificial Intelligence Initiatives and Programmes in India Chapter 20 A Vital Fusion of Internet-of-Medical Things and Blockchain to Transform Data Privacy and Security


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Product Details
  • ISBN-13: 9781032391717
  • Publisher: Taylor & Francis Ltd
  • Publisher Imprint: CRC Press
  • Height: 234 mm
  • No of Pages: 312
  • Width: 156 mm
  • ISBN-10: 1032391715
  • Publisher Date: 27 Dec 2022
  • Binding: Hardback
  • Language: English
  • Weight: 684 gr


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Convergence of Deep Learning and Artificial Intelligence in Internet of Things
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Convergence of Deep Learning and Artificial Intelligence in Internet of Things
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