1st Edition

Convergence of Deep Learning and Artificial Intelligence in Internet of Things

    328 Pages 128 Color & 41 B/W Illustrations
    by CRC Press

    328 Pages 128 Color & 41 B/W Illustrations
    by CRC Press

    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.

    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


    Ajay Rana, Sharad Sharma