Convergence of Deep Learning and Artificial Intelligence in Internet of Things
1st Edition
Published on 27. December 2022
Book
Hardback
312 pages
978-1-032-39171-7 (ISBN)
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.
* 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 details
Series
Language
English
Place of publication
London
United Kingdom
Publishing group
Taylor & Francis Ltd
Target group
College/higher education
Professional and scholarly
Academic, Postgraduate, and Undergraduate Advanced
Illustrations
41 s/w Abbildungen, 128 farbige Abbildungen, 57 s/w Photographien bzw. Rasterbilder, 112 s/w Zeichnungen, 21 s/w Tabellen
21 Tables, black and white; 112 Line drawings, black and white; 57 Halftones, black and white; 128 Illustrations, color; 41 Illustrations, black and white
Dimensions
Height: 240 mm
Width: 161 mm
Thickness: 22 mm
Weight
658 gr
ISBN-13
978-1-032-39171-7 (9781032391717)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Ajay Rana | Arun Kumar Rana | Sachin Dhawan
Convergence of Deep Learning and Artificial Intelligence in Internet of Things
Book
03/2025
1st Edition
CRC Press
€75.00
Shipment within 10-20 days
Ajay Rana | Arun Kumar Rana | Sachin Dhawan
Convergence of Deep Learning and Artificial Intelligence in Internet of Things
E-Book
12/2022
1st Edition
CRC Press
€68.49
Available for download
Ajay Rana | Arun Kumar Rana | Sachin Dhawan
Convergence of Deep Learning and Artificial Intelligence in Internet of Things
E-Book
12/2022
1st Edition
CRC Press
€68.49
Available for download
Persons
Ajay Rana, Sharad Sharma
Content
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
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