Integrating Metaheuristics in Computer Vision for Real-World Optimization Problems

✍ Scribed by Kapil Joshi, Shubham Mahajan, Amit Kant Pandit, Nitish Pathak

Publisher: WILEY
Year: 2024
Tongue: English
Leaves: 353
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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

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