1st Edition
Transforming Healthcare Artificial Intelligence, Machine Learning, and 5G Innovations for Enhanced Patient Care
Chapter 1. Role of AI & ML in Lung Disease Detection based on Lung Sound Analysis using Deep Learning Algorithms
Nivaashini Mathappan, Priya Lakshmipathy
Chapter 2. Application of an Artificial Intelligence (AI) for Tele-Healthcare Diagnosis
Vijayachitra Senniappan
Chapter 3. Transformative Applications of AI and ML in Diagnostics and Disease Treatment
Jothimani Subramani,Nikitha Mahalingam,Sangeethaa Swamynathan
Chapter 4. Predictions of Malnutrition among Children
Mangaiyarkkarasi Jeganathan, Shanthalakshmi Revathy Jeganathan
Chapter 5. Precise segmentation of anterior cruciate ligament tear from clinical MR images using meta-heuristic optimization
Pallikonda Rajasekaran, Kottaimalai Ramaraj, Arunprasath Thiyagarajan, Jakir Hossen, Wai Kit Wong
Chapter 6. Design and Development of IoT enabled Drone using for Agriculture and Medical Applications with integration of AI
Dhanalakshmi Gopal , Jayaraju Gaddala , Nageswara Reddy Pereddy ,Mukunthan Pandurangan
Chapter 7. A Deep Learning based Diabetic Retinopathy Detection Model
Kalaivani Kaliyaperumal,Kopperundevi Nagarajan,Vallalkani Kattur Nagarajan,Ganesh Jayaraman
Deepan Perumal
Chapter 8. Building Network Slice for Health Care Equipment Over 5G Services
Selvaganesh Muniyappan,Sakthi Kumar Saravanan,Sabarisan Konur Mani
Chapter 9. Design and Implementation of Personal Protective Equipment Detection System using YOLO v9 for Industrial Environments
Praveen Kumar Devulapalli, Alekya Kasoju,Sai Priya Gaddam, Sai Teja Alli
Chapter 10. Improving Spectrum Resource Management with an Advanced Deep Learning - based Model
Sivasankari Salem Anbazhagan, Cristiano Bonato Both, Rukkumani Venkatasalam, Srinivasan Karuppanan
Chapter 11. Hybrid Dense Block convolutional Transformers (DBCT) for Lung cancer detection and Severity Analysis
Sharmila Arumugam, Tamilselvan Kumaravel Subramaniam, Dhivya Priya Loganathan.
Chapter 12. Computer Vision Based Robotic Hand for Medical Healthcare Applications
Thilagaraj maiman singh, Subhradip Mukherjee, Ameen Muhammed Jumah, Manobhava P,Sowmya N, Shyam T E, and Sanoj K
Chapter 13. Yoga pose estimation using PoseNet Model
Karanam Sai Sharan, Sumathi Ramachandran , Karnatakam Anvitha, Kolaparthi Venkata Satya Naga Sai Kishan, Dhathri Bathineedi
Chapter 14. Patient Health Monitoring using IoT and Machine Learning
Kannan Palanisamy Parthiban, Sevugarathinam Muthu Vijaya Pandian, Muthirulan
Muthukrishnaveni
Chapter 15. Leveraging Machine Learning and Artificial Intelligence for Advanced Mobile Network Systems
Mohankumar Bharathiyar, Ezhil Arasi Veeraiyan, Priyadharsini Murugesan,Prabhu
Thuthikulam Natesan
Chapter 16. Transforming Patient Care: The Impact of 5G Technology on Telemedicine, Remote Monitoring, and Healthcare Delivery
Elamurugan Balasundaram, Krishna Sudheer Annavajjala, Gajendran.Aranganathan, Mathiazhagan ArumugamVinoth
Chapter 17. Revolutionizing Healthcare: The Role of Artificial Intelligence, 5G, Cloud Services, and Other Enabling Technologies
Bharathi Mayilswamy, Amsaveni Avinashippan, Pushpavalli Maheleeswaran
Chapter 18. Melanoma Skin Cancer Detection Using Hybrid Attention DCNN-Bi LSTM Architecture
Coimbatore Shelvaraju Manikandababu, Rukkumani Venkatasalam
Biography
K.Srinivasan received his Bachelor’s 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.
