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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 by Rana, Ajay; Kumar Rana, Arun; Dhawan, Sachin;

    Series: Future Generation Information Systems;

      • GET 20% OFF

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      • Publisher's listprice GBP 48.99
      • The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.

        23 404 Ft (22 290 Ft + 5% VAT)
      • Discount 20% (cc. 4 681 Ft off)
      • Discounted price 18 724 Ft (17 832 Ft + 5% VAT)

    23 404 Ft

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    Availability

    Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
    Not in stock at Prospero.

    Why don't you give exact delivery time?

    Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.

    Product details:

    • Edition number 1
    • Publisher CRC Press
    • Date of Publication 12 March 2025

    • ISBN 9781032410425
    • Binding Paperback
    • No. of pages328 pages
    • Size 234x156 mm
    • Weight 610 g
    • Language English
    • Illustrations 41 Illustrations, black & white; 128 Illustrations, color; 57 Halftones, black & white; 112 Line drawings, black & white; 21 Tables, black & white
    • 644

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    Short description:

    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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    Long description:

    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.


    More

    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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