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Metaheuristics for Medicine and Biology: Studies in Computational Intelligence, cartea 704

Editat de Amir Nakib, El-Ghazali Talbi
en Limba Engleză Hardback – 30 mar 2017
This book highlights recent research on metaheuristics for biomedical engineering, addressing both theoretical and applications aspects. Given the multidisciplinary nature of bio-medical image analysis, it has now become one of the most central topics in computer science, computer engineering and electrical and electronic engineering, and attracted the interest of many researchers. To deal with these problems, many traditional and recent methods, algorithms and techniques have been proposed. Among them, metaheuristics is the most common choice. This book provides essential content for senior and young researchers interested in methodologies for implementing metaheuristics to help solve biomedical engineering problems.

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Specificații

ISBN-13: 9783662544266
ISBN-10: 3662544261
Pagini: 500
Ilustrații: XVIII, 211 p. 120 illus., 67 illus. in color.
Dimensiuni: 155 x 235 x 14 mm
Greutate: 0.5 kg
Ediția:1st ed. 2017
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Studies in Computational Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Cuprins

18 Chapters

Textul de pe ultima copertă

This book highlights recent research on metaheuristics for biomedical engineering, addressing both theoretical and applications aspects. Given the multidisciplinary nature of bio-medical image analysis, it has now become one of the most central topics in computer science, computer engineering and electrical and electronic engineering, and attracted the interest of many researchers. To deal with these problems, many traditional and recent methods, algorithms and techniques have been proposed. Among them, metaheuristics is the most common choice. This book provides essential content for senior and young researchers interested in methodologies for implementing metaheuristics to help solve biomedical engineering problems.


Caracteristici

Includes recent research on metaheuristics for biomedical engineering Explores both theoretical and applications aspects Written by leading experts in the field Includes supplementary material: sn.pub/extras