This book comprehensively discusses the latest trends and developments in healthcare applications including artificial intelligence, the Internet of Things, machine learning algorithms, deep learning algorithms, and 5G technology. It covers topics such as 5 G-based smart healthcare network security, and data management and security.
This book comprehensively discusses the latest trends and developments in healthcare applications including artificial intelligence, the Internet of Things, machine learning algorithms, deep learning algorithms, and 5G technology. It covers important topics such as 5 G-based smart healthcare network security, and data management and security.
Features:
• Covers the key challenges and considerations in healthcare applications and 5G technology, such as safety, reliability, and cost-effectiveness.
• Discusses the latest trends and developments in healthcare applications including artificial intelligence, the Internet of Things, and machine learning algorithms.
• Provides an in-depth analysis of the technical aspects of 5G technology, healthcare automation, and social and economic implications of the latest technologies.
• Bridges the gap between artificial intelligence, machine learning, and deep learning with advanced communication technologies used in healthcare applications.
• Highlights the latest design and problem-solving skills of engineering with health sciences to advance healthcare treatment with 5G technology.
It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electrical and communications engineering, computer science and engineering, and biomedical engineering.
Chapter
1. Role of AI & ML in Lung Disease Detection based on Lung Sound
Analysis using Deep Learning Algorithms.
Chapter
2. Application of Artificial
Intelligence (AI) for Tele-Healthcare System.
Chapter
3. Transformative
Applications of AI and ML in Diagnostics and Disease Treatment.
Chapter
4.
Predictions of Malnutrition among Children.
Chapter
5. Precise segmentation
of anterior cruciate ligament tear from clinical MR images using
meta-heuristic optimization.
Chapter
6. Design and Development of IoT-enabled
Drone for Agriculture and Medical Applications with integration of AI.
Chapter
7. A Deep Learning-based Diabetic Retinopathy Detection Model.
Chapter
8. Building Network Slice for Health Care Equipment Over 5G Services.
Chapter
9. Design and Implementation of Personal Protective Equipment
Detection System using YOLO v9 for Industrial Environments.
Chapter
10.
Improving Spectrum Resource Management with an Advanced Deep Learning-based
Model.
Chapter
11. Hybrid Dense Block convolutional Transformers (DBCT) for
Lung cancer detection and Severity Analysis.
Chapter
12. Computer
Vision-based Robotic Hand for Medical Healthcare Applications.
Chapter
13.
Yoga pose estimation using PoseNet Model.
Chapter
14. Patient Health
Monitoring using IoT and Machine Learning.
Chapter
15. Leveraging Machine
Learning and Artificial Intelligence for Advanced Mobile Network Systems.
Chapter
16. Transforming Patient Care: The Impact of 5G Technology on
Telemedicine, Remote Monitoring, and Healthcare Delivery.
Chapter
17.
Revolutionizing Healthcare: The Role of Artificial Intelligence, 5G, Cloud
Services, and Other Enabling Technologies.
Chapter
18. Melanoma Skin Cancer
Detection Using Hybrid Attention DCNN-BiLSTM Architecture
K.Srinivasan received his Bachelors degree in Electronics and Communication Engineering from VLB Janakiammal College of Engineering and Technology, Coimbatore and ME in Process Control and Instrumentation Engineering from Annamalai University, Chidambaram in 1996 and 2004 respectively. He completed his Ph.D degree from Anna University, Chennai in 2012 under the faculty of Electrical Engineering. He has 24 years of experience in the field of Electronics, Communication, Instrumentation and Image & video processing. Presently, he is working as Professor and Head in the Department of Electronics and Instrumentation Engineering.
Jude Hemanth received his B.E degree in ECE from Bharathiar University in 2002, M.E degree in communication systems from Anna University in 2006 and Ph.D. from Karunya University in 2013. His research areas include Computational Intelligence and Image processing. He has authored more than 310 research papers in reputed SCIE indexed International Journals and Scopus indexed International Conferences. Currently, he is working as Professor in Department of ECE, Karunya University, Coimbatore, India.
V.Rukkumani is working as an Associate Professor in the Department of Electronics and Instrumentation Engineering at Sri Ramakrishna Engineering College, Coimbatore. She received her B.E degree in EIE from Bharathiar University in 2004, M.E degree in VLSI Design from Anna University in 2009 and Ph.D in Electrical Engineering in 2015. She has more than 20 years of experience in teaching. Her research interests include VLSI Design, Transducers and Industrial Instrumentation. She has published 45 technical papers in International Journals, 13 International Conferences and 15 National Conferences.
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