Convergence of Deep Learning and Artificial Intelligence in Internet of Things

Ajay Rana, Arun Kumar Rana, Sachin Dhawan, Sharad Sharma, Ahmed A Elngar, Ajay Rana, Arun Kumar Rana, Sachin Dhawan, Sharad Sharma, Ahmed A Elngar

• Publisher: CRC Press
• Year: 2022
• Print ISBN: 9781032391717
• eBook ISBN: 9781000822090
• Edition: 1
• Topic: Computer Science
• Subtopic: Computer Science General
• Index: Computer Science

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

• Cover
• Half Title
• Title Page
• Copyright Page
• Contents
• Editor Bios
• List of Contributors
• 1 Deep Learning Algorithms for Real-Time Healthcare Monitoring Systems
• 2 Neural Network–Based Efficient Hybrid Control Scheme for the Tracking Control of Autonomous Underwater Vehicles
• 3 Integrated Storage Allocation and Privacy Preserve Deduplication Process over Cloud Using Dekey Method
• 4 Internet of Things for Smart Cities: Application and Challenges
• 5 IoT-Based Garbage Monitoring System with Proposed Machine Learning Model for Smart City
• 6 Application of Natural Language Processing and IoT to Emulate Virtual Receptionist
• 7 An Overview: Understanding of Image Fusion
• 8 Meta-Heuristic Algorithms for Optimization
• 9 Internet of Medical Things Devices: A Review
• 10 COVID-19 Patient Remote Health Monitoring System Using IoT
• 11 Prediction of Alanine Using Neural Network Model
• 12 Hybrid Algorithm for Detection of COVID-19 Using CNN and SVM
• 13 Deep Learning Algorithms for IoT-Based Hybrid Sensor Using Big Data Analytics
• 14 Delineation of Landslide Hazard Zones of a Part of Sutlej Basin in Himachal Pradesh Through Frequency Ratio Model
• 15 Crop Recommendation System Using Machine Learning Algorithms
• 16 Impacts of Artificial Intelligence, Deep Learning, and Internet of Things
• 17 A Support Vector Machine–Based Deep Learning Approach for Object Detection
• 18 Artificial Intelligence and IOT-Based Electric Grid: Future of Micro Grid
• 19 An Analysis of Artificial Intelligence Initiatives and Programmes in India
• 20 A Vital Fusion of Internet of Medical Things and Blockchain to Transform Data Privacy and Security
• Index