Internet of Things enabled Machine Learning for Biomedical Applications
$322.79
- Hardcover
410 pages
- Release Date
29 November 2024
Summary
The text begins by highlighting the benefits of the Internet of Things-enabled machine learning in the healthcare sector, examines the diagnosis of diseases using machine learning algorithms, and analyzes security and privacy issues in the healthcare systems using the Internet of Things. The text elaborates on image processing implementation for medical images to detect and classify diseases based on magnetic resonance imaging and ultrasound images.
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Book Details
| ISBN-13: | 9781032550824 |
|---|---|
| ISBN-10: | 1032550821 |
| Author: | Neha Goel, Ravindra Kumar Yadav |
| Publisher: | Taylor & Francis Ltd |
| Imprint: | CRC Press |
| Format: | Hardcover |
| Number of Pages: | 410 |
| Release Date: | 29 November 2024 |
| Weight: | 800g |
| Dimensions: | 156mm x 234mm |
Neha Goel
Dr. Neha Goel is a Professor in the Department of Electronics & Communication Engineering at RKGIT, Ghaziabad, India. She received her Ph.D. from SRM University, Chennai, in 2019. With 18 years of experience in teaching and research, her interests include VLSI design, CMOS design, Internet of Things, and machine learning. She has supervised numerous B.Tech and M.Tech projects and has published 45 papers in journals and conferences. She has received grants and holds four patents.
Dr. Ravindra Kumar Yadav is Professor and Head of the Department of Electronics & Communication Engineering, RKGIT, Ghaziabad, India. He holds B.E., M.E., and Ph.D. degrees in Electronics & Communication Engineering. He has 26 years of experience in teaching, research, administration, and establishing educational institutions. He has guided B.Tech. and M.Tech. projects and co-guides Ph.D. students from IIT Dhanbad. He has 90 publications in journals, conferences, and symposiums. Prof. Yadav is a reviewer for several national and international journals and has chaired technical sessions at conferences and seminars.
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