Metaheuristics for medicine and biology / Amir Nakib, El-Ghazali Talbi, editors.
Contributor(s): Nakib, Amir,, editor literario | Talbi, El-Ghazali,, editor literario
Material type:
E-bookSeries: (Studies in computational intelligence, 1860-949X ; volume 704).Publisher: Berlin, Germany : Springer, 2017Description: 1 recurso en línea (xviii, 211 páginas) : ilustraciones (algunas a color).ISBN: 3662544288; 9783662544280.Subject: Inteligencia artificial
Online resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
Abstract: 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.
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
|
Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | Q342 .M483 2017 EB (Browse shelf(Opens below)) | Acceso electrónico | eBook.20023288 |
SpringerLink Springer Engineering eBooks 2017 English+International
Incluye referencias bibliográficas
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.
There are no comments on this title.