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Titlebook: New Challenges on Bioinspired Applications; 4th International Wo José Manuel Ferrández,José Ramón Álvarez Sánchez,F Conference proceedings

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发表于 2025-3-21 19:21:56 | 显示全部楼层 |阅读模式
书目名称New Challenges on Bioinspired Applications
副标题4th International Wo
编辑José Manuel Ferrández,José Ramón Álvarez Sánchez,F
视频video
概述Fast-track conference proceedings.State-of-the-art research.Unique selling points
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: New Challenges on Bioinspired Applications; 4th International Wo José Manuel Ferrández,José Ramón Álvarez Sánchez,F Conference proceedings
描述The two volumes, LNCS 6686 resp. LNCS 6687, constitute the refereed proceedings of the 4th International Work-Conference on the Interplay between Natural and Artificial Computation, IWINAC 2011, held in La Palma, Canary Islands, Spain, in May/June 2011.The 108 revised full papers presented in LNCS 6686 resp. LNCS 6687 were carefully reviewed and selected from numerous submissions. The first part, LNCS 6686, entitled "Foundations on Natural and Artificial Computation", includes all the contributions mainly related to the methodological, conceptual, formal, and experimental developments in the fields of neurophysiology and cognitive science. The second part, LNCS 6687, entitled "New Challenges on Bioinspired Applications", contains the papers related to bioinspired programming strategies and all the contributions related to the computational solutions to engineering problems in different application domains, specially Health applications, including the CYTED ``Artificial and Natural Computation for Health‘‘ (CANS) research network papers.
出版日期Conference proceedings 2011
关键词autonomous robots; computer vision; evolutionary computation; genetic algorithms; particle swarm optimiz
版次1
doihttps://doi.org/10.1007/978-3-642-21326-7
isbn_softcover978-3-642-21325-0
isbn_ebook978-3-642-21326-7Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Berlin Heidelberg 2011
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S. Murillo Rendón,J. R. Orozco Arroyave,J. F. Vargas Bonilla,J. D. Arias Londoño,C. G. Castellanos Den eines einzelnen Merkmals bestehen, in geeigneter Weise dargestellt, beschrieben und untersucht werden können. Neben den üblichen Mitteln der univariaten deskriptiven Statistik wie Histogrammen und Maßzahlen zu Lage und Streuung werden einige einfache Techniken der explorativen Datenanalyse wie Bo
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MRI Brain Image Segmentation with Supervised SOM and Probability-Based Clustering Method,hrenia or the Alzheimer’s disease. One way to figure out these disorders from a MRI is through image segmentation. Image segmentation consist in partitioning an image into different regions. These regions determine diferent tissues present on the image. This results in a very interesting tool for ne
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,Effective Diagnosis of Alzheimer’s Disease by Means of Distance Metric Learning and Random Forest,e the early detection of the Alzheimer’s Disease (AD). The system combines firstly template-based normalized mean square error (NMSE) features of tridimensional Regions of Interest (ROIs) t-test selected with secondly Kernel Principal Components Analysis (KPCA) to find the main features. Thirdly, ai
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