This book presents the advances and applications in the area of image processing with IoT and medical image processing and analysis techniques. It spotlights image processing and analysis techniques for IoT applications in CT images of COVID-19, remote sensing and medical engineering fields.
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.
Chapter 1 Machine LearningBased Early Fire Detection System Using a
Low-Cost Drone
Chapter 2 Computer Vision: Practical Approach to Facial Detection Techniques
for Security Applications
Chapter 3 Image Segmentation: Classification and Implementation Techniques
Chapter 4 Image Processing with IoT for Patient Monitoring
Chapter 5 Theory, Practical Concepts, Strategies and Methods for Emotion
Recognition
Chapter 6 A Comparative Study of Convolutional Neural Networks for Plant
Phenology Recognition
Chapter 7 IoT and Wearable Sensors for Health Monitoring
Chapter 8 Analysis of Interpolation-Based Image In-Painting Approaches
Chapter 9 Real Time DensityBased Traffic Congestion Detection System Using
Image Processing and Fuzzy Logic Controller
Chapter 10 Fundamentals of Face Recognition with IoT
Chapter 11 IoT for Health Monitoring
Chapter 12 Human Behavior Detection using Image Processing and IoT
Chapter 13 A Novel Cross-Slotted Dual-Band Fractal Microstrip Antenna Design
for Internet of Things (IoT) Applications
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
Chapter 15 Image Processing Implementation for Medical Images to Detect and
Classify Various Diseases on the Basis of MRI and Ultrasound Images
Chapter 16 Benchmarking of Medical Imaging Technologies
Chapter 17 Application of Image Processing in Plant Leaf Disease Detection
Chapter 18 Monitoring Air Pollution with the Help of Tree Bark and Advanced
Technology IoT and AI Techniques at Indore City
Chapter 19 IoT-Based Smart Stick for the Blind: A Review
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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