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Metaheuristics Algorithms For Medical Applications Methods And Applications Mohamed Abdelbasset

  • SKU: BELL-53997902
Metaheuristics Algorithms For Medical Applications Methods And Applications Mohamed Abdelbasset
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Metaheuristics Algorithms For Medical Applications Methods And Applications Mohamed Abdelbasset instant download after payment.

Publisher: Academic Press
File Extension: PDF
File size: 7.06 MB
Pages: 249
Author: Mohamed Abdel-Basset, Mohamed Elhoseny, Reda Mohamed
ISBN: 9780443133145, 044313314X
Language: English
Year: 2023

Product desciption

Metaheuristics Algorithms For Medical Applications Methods And Applications Mohamed Abdelbasset by Mohamed Abdel-basset, Mohamed Elhoseny, Reda Mohamed 9780443133145, 044313314X instant download after payment.

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. The 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 the book presents the fundamental concepts of Metaheuristics and Machine Learning, and also provides a comprehensive taxonomic view of Metaheuristics methods according to a variety of criteria such as data type, scope, method, and so forth. The second section of the 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. The 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.

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