Metaheuristics Algorithms for Medical Applications
Language: English
Published by Elsevier Science Publishing Co Inc, US, 2023
- Softcover
- New
Seller: Rarewaves.com USA, London, London, United KingdomRarewaves.com USA
AbeBooks seller since June 11, 2025
Condition: New
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Add to basketItem description from seller
Metaheuristics Algorithms for Medical Applications: Methods and Applications provides readers with the most complete reference for developing metaheuristics techniques with machine learning for solving biomedical problems. This book is organized to present a stepwise progression beginning with the basics of metaheuristics, leading into methods and practices, and concluding with advanced topics. The first section of this book presents the fundamental concepts of metaheuristics and machine learning and provides a comprehensive taxonomic view of metaheuristics methods according to a variety of criteria such as data type, scope, and method. The second section of this book explains how to apply metaheuristics techniques for solving large-scale biomedical problems, including analysis and validation under different strategies. The final portion of the book focuses on advanced topics in metaheuristics in four different applications. Readers will discover a variety of new methods, approaches, and techniques, as well as a wide range of applications demonstrating key concepts in metaheuristics for biomedical science. This book provides a leading-edge resource for researchers in a variety of scientific fields who are interested in metaheuristics, including mathematics, biomedical engineering, computer science, biological sciences, and clinicians in medical practice. …
Seller Inventory # LU-9780443133145
- Title
- Metaheuristics Algorithms for Medical Applications
- Author
- Mohamed Abdel-Basset, Reda Mohamed, Mohamed Elhoseny
- Publisher
- Elsevier Science Publishing Co Inc, US
- Publication year
- 2023
- Condition
- New
- Binding
- Paperback
- Language
- English
- ISBN 10
- 044313314X
- ISBN 13
- 9780443133145
- Item weight
- 520 grams
Metaheuristics Algorithms for Medical Applications: Methods and Applications provides readers with the most complete reference for developing metaheuristics techniques with machine learning for solving biomedical problems. This book is organized to present a stepwise progression beginning with the basics of metaheuristics, leading into methods and practices, and concluding with advanced topics. The first section of this book presents the fundamental concepts of metaheuristics and machine learning and provides a comprehensive taxonomic view of metaheuristics methods according to a variety of criteria such as data type, scope, and method. The second section of this book explains how to apply metaheuristics techniques for solving large-scale biomedical problems, including analysis and validation under different strategies. The final portion of the book focuses on advanced topics in metaheuristics in four different applications. Readers will discover a variety of new methods, approaches, and techniques, as well as a wide range of applications demonstrating key concepts in metaheuristics for biomedical science. This book provides a leading-edge resource for researchers in a variety of scientific fields who are interested in metaheuristics, including mathematics, biomedical engineering, computer science, biological sciences, and clinicians in medical practice.
- Introduces a new set of Metaheuristics techniques for biomedical applications
- Presents basic concepts of Metaheuristics, methods and practices, followed by advanced topics and applications
- Provides researchers, practitioners, and project stakeholders with a complete guide for understanding and applying metaheuristics and machine learning techniques in their projects and solutions
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Reda Mohamed is a Senior Researcher in the Faculty of Computers and Informatics at Zagazig University, Egypt. His research interests include Optimization, Deep Learning algorithms, Swarm Intelligence, Evolutionary Algorithms, and Artificial Neural Networks. He has published more than 70 articles in international journals and conference proceedings. He is currently working on the application of multi-objective and robust meta-heuristic optimization techniques.
Dr. Mohamed Elhoseny is an Associate Professor at the University of Sharjah, UAE. Dr. Elhoseny is an ACM Distinguished Speaker and IEEE Senior Member. His research interests include Smart Cities, Network Security, Artificial Intelligence, Internet of Things, and Intelligent Systems. Dr. Elhoseny is the founder and the Editor-in-Chief of the IJSSTA journal published by IGI Global, as well as Associate Editor at several Q1 journals such as IEEE Access, Scientific Reports, IEEE Future Directions, Remote Sensing, International Journal of E-services and Mobile Applications and Human-centric Computing and Information Sciences. He has also served as the co-chair, publication chair, program chair, and a track chair for several international conferences published by recognized publishers. Dr. Elhoseny is Editor-in-Chief of two book series, on Sensor Communication for Urban Intelligence and Distributed Sensing and Intelligent Systems.
"About the title" may belong to another edition of this title.
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