Integrating Metaheuristics in Computer Vision for Real-World Optimization Problems

This book recognizes digital images and video use in fields of surveillance, manufacturing, and agriculture. Organized in two parts, a variety of readers learn about communication, automation, and beginning a career in research and innovation.

The goal of the book is to provide research that addresses broad challenges in both theoretical and application aspects of soft computing and machine learning in image processing and computer vision.   Included in This Book:   -        Discussions on advancements in diagnostics and therapeutic techniques for ischemic stroke, object detection, and tracking face detection   -        Talks about the comparative evaluation of machine learning algorithms for bank fraud detection and improving performance with feature selection, extraction, and learning   -        Details the concept of trading cryptocurrency market-based strategies with comparative evaluation and prediction of exoplanets by using machine learning methods   -        Explores the advancements of machine learning and highlights the strengths and limitations of swarm intelligence and computation