Fr. 76.00

Advanced Sensing in Image Processing and IoT

English · Paperback / Softback

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Description

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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.

List of contents

Chapter 1 Machine Learning–Based 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 Density–Based 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

About the author

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.

Summary

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.

Product details

Assisted by Korhan Cengiz (Editor), Sachin Dhawan (Editor), Rashmi Gupta (Editor), Gupta Rashmi (Editor), Arun Kumar Rana (Editor)
Publisher Taylor and Francis
 
Languages English
Product format Paperback / Softback
Released 29.07.2024
 
EAN 9781032117515
ISBN 978-1-032-11751-5
No. of pages 368
Weight 700 g
Illustrations schwarz-weiss Illustrationen, Raster,schwarz-weiss, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss
Series Innovations in Multimedia, Virtual Reality and Augmentation
Subjects Guides
Natural sciences, medicine, IT, technology > IT, data processing > IT

machine learning, SCIENCE / Biotechnology, TECHNOLOGY & ENGINEERING / Electrical, TECHNOLOGY & ENGINEERING / Imaging Systems, TECHNOLOGY & ENGINEERING / Biomedical, COMPUTERS / Machine Theory, biotechnology, Electrical Engineering, Mathematical theory of computation, Biomedical engineering, Imaging systems & technology, COMPUTERS / Data Science / Machine Learning, Imaging systems and technology

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