Fuzzy Recurrence Plots And Networks With Applications In Biomedicine
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Fuzzy Recurrence Plots and Networks with Applications in Biomedicine
This book presents an original combination of three well-known methodological approaches for nonlinear data analysis: recurrence, networks, and fuzzy logic. After basic concepts of these three approaches are introduced, this book presents recently developed methods known as fuzzy recurrence plots and fuzzy recurrence networks. Computer programs written in MATLAB, which implement the basic algorithms, are included to facilitate the understanding of the developed ideas. Several applications of these techniques to biomedical problems, ranging from cancer and neurodegenerative disease to depression, are illustrated to show the potential of fuzzy recurrence methods. This book opens a new door to theorists in complex systems science as well as specialists in medicine, biology, engineering, physics, computer science, geosciences, and social economics to address issues in experimental nonlinear signal and data processing.
Computational Intelligence for Signal and Image Processing, volume II
Author: Deepika Koundal
language: en
Publisher: Frontiers Media SA
Release Date: 2025-03-24
The first volume of this collection comprised 10 research articles that focused on the applications of Computational Intelligence for Signal and Image Processing, such as education, healthcare, and security. The findings presented in this Research Topic showcased the active development and research within the field of Computational Intelligence methods for the times ahead. Due to the success of that first volume and to facilitate its progression, this second volume embarks on an intriguing exploration at the intersection of neuroscience and cutting-edge technology. This edition focuses on algorithms inspired by the intricacies of the brain, delving into how these algorithms act as catalysts for the evolution of methodologies in image/video and signal processing, IoT applications, and beyond. It highlights the profound potential of brain-inspired algorithms to revolutionize various domains, paving the way for innovation and efficiency.
Medical Applications of Artificial Intelligence
Enhanced, more reliable, and better understood than in the past, artificial intelligence (AI) systems can make providing healthcare more accurate, affordable, accessible, consistent, and efficient. However, AI technologies have not been as well integrated into medicine as predicted. In order to succeed, medical and computational scientists must dev