Internet of Things Enabled Machine Learning for Biomedical Application

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 examines 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.

This book:

- Covers the procedure to recognize emotions using image processing and the internet of things-enabled machine learning.

- Highlights security and privacy issues in the healthcare system using the internet of things.

- Discusses classification and implementation techniques of image segmentation.

- Explains different algorithms of machine learning for image processing in a comprehensive manner.

- Provides computational intelligence on the internet of things for future biomedical applications including lung cancer.

It is primarily written for graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer science and engineering, and biomedical engineering.

Dr. Neha Goel is working as Associate Professor in the department of Electronics & Communication Engineering at RKGIT, Ghaziabad. She has completed her PhD from SRM University, Chennai in 2019. She has 18 years of rich experience in teaching. Her area of interest on VLSI design, CMOS design, Internet of things, Machine learning. She has guided several Beach Projects and has published 38 papers in various National/International journals and conferences. She has been granted and has published 3 patents. She has also attended various workshops and seminars in various fields.

Dr. Ravindra Kumar Yadav is a Professor and Head of the Department of Electronics & Communication Engineering at RKGIT, Ghaziabad. He has a B.E, M.E., and PhD in the field of Electronics & Communication engineering. He has 26 years of rich experience in teaching, research and development activities, administration and managing and upbringing of higher educational institutions. He has guided several B. Tech and M. Tech projects and is also guiding PhD students from IIT Dhanbad as a co guide. He has published 90 papers to his credit in international/national journals, conferences, and symposiums. Prof. Yadav is a Reviewer for several National/International Journals of high reputation. He has chaired/participated technical sessions at multiple international and national conferences/ seminars held throughout the country.