Part 1 Special Issue Bio Inspired Computing Applications Selected Papers From The Bica Iwinac Conference 2017 Special Issue The Interplay Between Natural Computing Algorithms And Machine Learning


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Biomedical Applications Based on Natural and Artificial Computing


Biomedical Applications Based on Natural and Artificial Computing

Author: José Manuel Ferrández Vicente

language: en

Publisher: Springer

Release Date: 2017-06-10


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The two volumes LNCS 10337 and 10338 constitute the proceedings of the International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, held in Corunna, Spain, in June 2017. The total of 102 full papers was carefully reviewed and selected from 194 submissions during two rounds of reviewing and improvement. The papers are organized in two volumes, one on natural and artificial computation for biomedicine and neuroscience, addressing topics such as theoretical neural computation; models; natural computing in bioinformatics; physiological computing in affective smart environments; emotions; as well as signal processing and machine learning applied to biomedical and neuroscience applications. The second volume deals with biomedical applications, based on natural and artificial computing and addresses topics such as biomedical applications; mobile brain computer interaction; human robot interaction; deep learning; machine learning applied to big data analysis; computational intelligence in data coding and transmission; and applications.

Bio-Inspired Computing: Theories and Applications


Bio-Inspired Computing: Theories and Applications

Author: Linqiang Pan

language: en

Publisher: Springer Nature

Release Date: 2023-04-17


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This book constitutes the refereed proceedings of the 17th International Conference on Bio-Inspired Computing: Theories and Applications, BIC-TA 2022, held in Wuhan, China, during December 16–18, 2022. The 56 full papers included in this book were carefully reviewed and selected from 148 submissions. They were organized in topical sections as follows: evolutionary computation and swarm intelligence; machine learning and deep learning; intelligent control and simulation and molecular computing and nanotechnology.