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Language: en
Pages: 501
Pages: 501
Type: BOOK - Published: 2022-06-04 - Publisher: Springer Nature
This book collects different methodologies that permit metaheuristics and machine learning to solve real-world problems. This book has exciting chapters that em
Language: en
Pages: 372
Pages: 372
Type: BOOK - Published: 2024-08-27 - Publisher: John Wiley & Sons
A comprehensive book providing high-quality research addressing challenges in theoretical and application aspects of soft computing and machine learning in imag
Language: en
Pages: 423
Pages: 423
Type: BOOK - Published: 2024-07-17 - Publisher: IGI Global
In contemporary engineering domains, optimization and decision-making issues are crucial. Given the vast amounts of available data, processing times and memory
Language: en
Pages: 287
Pages: 287
Type: BOOK - Published: 2022-11-16 - Publisher: Springer Nature
This book is very beneficial for early researchers/faculty who want to work in deep learning and machine learning for the classification domain. It helps them s
Language: en
Pages: 231
Pages: 231
Type: BOOK - Published: 2023-03-13 - Publisher: Springer Nature
Using metaheuristics to enhance machine learning techniques has become trendy and has achieved major successes in both supervised (classification and regression