Edited
By Om Prakash Jena, Bharat Bhushan, Utku Kose
February 25, 2022
Machine Learning and Deep Learning in Medical Data Analytics and Healthcare Applications introduces and explores a variety of schemes designed to empower, enhance, and represent multi-institutional and multi-disciplinary machine learning (ML) and deep learning (DL) research in healthcare paradigms....
Edited
By Deepak Gupta, Moolchand Sharma, Vikas Chaudhary, Ashish Khanna
June 30, 2021
New prospects for biomedical and healthcare engineering are being created by the rapid development of Robotic and Artificial Intelligence techniques. Innovative technologies such as Artificial Intelligence, Deep Learning, Robotics, and IoT are currently under huge influence in today’s modern world....
By K. Shankar, Eswaran Perumal, Deepak Gupta
May 10, 2021
This book discusses research in Artificial Intelligence for the Internet of Health Things. It investigates and explores the possible applications of machine learning, deep learning, soft computing, and evolutionary computing techniques in design, implementation, and optimization of challenging...
By A. Bakiya, K. Kamalanand, R. L. J. De Britto
April 29, 2021
The aim of Mechano-Electric Correlations in the Human Physiological System is to present the mechanical and electrical properties of human soft tissues and the mathematical models related to the evaluation of these properties in time, as well as their biomedical applications. This book also ...
By Venkatesan Rajinikanth, K. Kamalanand, C. Emmanuel, B. Thayumanavan
December 22, 2020
The aim of this book is to outline the concept of entropy, various types of entropies and their implementation to evaluate a variety of biomedical signals/images. The book emphasizes various entropy-based image pre-processing methods which are essential for the development of suitable computerized ...
