Advanced Sensing in Image Processing and IoT

Author:   Rashmi Gupta ,  Arun Kumar Rana (Galgotias College of Engineering and Technology, India) ,  Sachin Dhawan (Panipat Inst of Engg and Tech, India) ,  Korhan Cengiz (Istinye University, Istanbul)
Publisher:   Taylor & Francis Ltd
ISBN:  

9781032117379


Pages:   368
Publication Date:   28 March 2022
Format:   Hardback
Availability:   In Print   Availability explained
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Advanced Sensing in Image Processing and IoT


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Overview

The book provides future research directions in IoT and image processing based Energy, Industry, and Healthcare domain and explores the different applications of its associated technologies. However, the Internet of Things and image processing is a very big field with a lot of subfields, which are very important such as Smart Homes to improve our daily life, Smart Cities to improve the citizens' life, Smart Towns to recover the livability and traditions, Smart Earth to protect our world, and Industrial Internet of Things to create safer and easier jobs. This book considers very important research areas in Energy, Industry, and Healthcare domain with IoT and image processing applications.The aim of the book to highlights future directions of optimization methods in various engineering and science applications in various IoT and image processing applications. Emphasis is given to deep learning and similar models of neural network-based learning techniques employed in solving optimization problems of different engineering and science applications. The role of AI in mechatronics is also highlighted using suitable optimization methods. This book considers very important research areas in Energy, Industry, and Healthcare. It addresses major issues and challenges in Energy, Industry, and Healthcare and solutions proposed for IoT-enabled cellular/computer networks, routing/communication protocols, surveillances applications, secured data management, and positioning approaches. It focuses mainly on smart and context-aware implementations. Key sailing Features: The impact of the proposed book is to provide a major area of concern to develop a foundation for the implementation process of new image processing and IoT devices based on Energy, Industry, and Healthcare related technology. The researchers working on image processing and IoT devices can correlate their work with other requirements of advanced technology in Energy, Industry, and Healthcare domain. To make aware of the latest technology like AI and Machine learning in Energy, Industry, and Healthcare related technology. Useful for the researcher to explore new things like Security, cryptography, and privacy in Energy, Industry, and Healthcare related technology. People who want to start in Energy, Industry, and Healthcare related technology with image processing and IoT world.

Full Product Details

Author:   Rashmi Gupta ,  Arun Kumar Rana (Galgotias College of Engineering and Technology, India) ,  Sachin Dhawan (Panipat Inst of Engg and Tech, India) ,  Korhan Cengiz (Istinye University, Istanbul)
Publisher:   Taylor & Francis Ltd
Imprint:   CRC Press
Weight:   0.707kg
ISBN:  

9781032117379


ISBN 10:   1032117370
Pages:   368
Publication Date:   28 March 2022
Audience:   Professional and scholarly ,  General/trade ,  Professional & Vocational ,  General
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Prof. Rashmi Gupta is a Professor in Electronics & Communication Engineering Department in Ambedkar Institute of Advanced Communication Technologies & Research under Govt. of NCT of Delhi. Prof. Arun Kumar Rana is an Assistant Professor at PIET College Samalkha. Prof. Sachin Dhawan is currently pursuing his Ph.D. degree in electronics and communication engineering from AIACT&R under Guru Gobind Singh Indraprastha University, Dwarka, New Delhi. Prof. Korhan Cengiz, PhD, is an Assistant Professor with the Electrical-ElectronicsEngineering Department, Trakya University, Turkey.

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