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E-raamat: Advanced Sensing in Image Processing and IoT [Taylor & Francis e-raamat]

Edited by (Istinye University, Istanbul), Edited by , Edited by (Panipat Inst of Engg and Tech, India), Edited by (Galgotias College of Engineering and Technology, India)
Teised raamatud teemal:
  • Taylor & Francis e-raamat
  • Hind: 170,80 €*
  • * hind, mis tagab piiramatu üheaegsete kasutajate arvuga ligipääsu piiramatuks ajaks
  • Tavahind: 244,00 €
  • Säästad 30%
Teised raamatud teemal:
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.
Editors vii
Contributors ix
Chapter 1 Machine Learning-Based Early Fire Detection System Using a Low-Cost Drone
1(18)
Aygegul Yanik
Mertkan Yamk
Mehmet Serdar Guzel
Gazi Erkan Bostanci
Chapter 2 Computer Vision: Practical Approach to Facial Detection Techniques for Security Applications
19(24)
Shivam Gupta
Chapter 3 Image Segmentation: Classification and Implementation Techniques
43(20)
Hina J. Chokshi
Abhishek Agrawal
Chapter 4 Image Processing with IoT for Patient Monitoring
63(18)
Hina J. Chokshi
Maya Mehta
Chapter 5 Theory, Practical Concepts, Strategies and Methods for Emotion Recognition
81(28)
Varsha K. Patil
Vijaya Pawar
Vaishnavi Vajirkar
Vedita Kharabe
Nimisha Gutte
Mustafa Sameer
Chapter 6 A Comparative Study of Convolutional Neural Networks for Plant Phenology Recognition
109(28)
Shivani Gaba
Shally Nagpal
Alankrita Aggarwal
Chapter 7 IoT and Wearable Sensors for Health Monitoring
137(16)
Radhika G. Deshmukh
Akanksha Pinjarkar
Aran Kumar Rana
Chapter 8 Analysis of Interpolation-Based Image In-Painting Approaches
153(18)
Mustafa Zor
Erkan Bostanci
Mehmet Serdar Guzel
Erinc Karatas
Chapter 9 Real Time Density-Based Traffic Congestion Detection System Using Image Processing and Fuzzy Logic Controller
171(18)
Anita Mohanty
Bhagyalaxmi Jena
Subrat Kumar Mohanty
Chapter 10 Fundamentals of Face Recognition with IoT
189(12)
Payal Parekh
Hina J. Chokshi
Chapter 11 IoT for Health Monitoring
201(20)
Anshu Saxena
Asmita A. Moghe
Ratish Agarwal
Chapter 12 Human Behavior Detection using Image Processing and IoT
221(24)
Kamini Solanki
Abhishek Mehta
Dharmendrasinh Rathod
Priya Swaminarayan
Chapter 13 A Novel Cross-Slotted Dual-Band Fractal Microstrip Antenna Design for Internet of Things (IoT) Applications
245(10)
Ram Krishan
Chapter 14 Examination of Vegetation Health and Its Relation with Normalized Difference Built-Up Index: A Study on Rajarhat Block of North 24 Parganas District of West Bengal, India
255(22)
Asutosh Goswami
Suhel Sen
Prodip Kumar Chakraborty
Chapter 15 Image Processing Implementation for Medical Images to Detect and Classify Various Diseases on the Basis of MRI and Ultrasound Images
277(20)
Rati Goel
Chapter 16 Benchmarking of Medical Imaging Technologies
297(22)
Punit Kumar Singh
Sudhakar Singh
Ashish
Hassan Usaman
Chapter 17 Application of Image Processing in Plant Leaf Disease Detection
319(18)
Bhavana Nerkar
Chapter 18 Monitoring Air Pollution with the Help of Tree Bark and Advanced Technology IoT and AI Techniques at Indore City
337(16)
Priya Trivedi
Arun Kumar Rana
Chapter 19 IoT-Based Smart Stick for the Blind: A Review
353(12)
Varsha Vimal Sood
Kartik Bansal
Nitish Agarwal
Index 365
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.