1.

Record Nr.

UNINA9910483475503321

Titolo

Biomedical Applications Based on Natural and Artificial Computing : International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2017, Corunna, Spain, June 19-23, 2017, Proceedings, Part II / / edited by José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Félix de la Paz López, Javier Toledo Moreo, Hojjat Adeli

Pubbl/distr/stampa

Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017

ISBN

3-319-59773-6

Edizione

[1st ed. 2017.]

Descrizione fisica

1 online resource (XXI, 562 p. 214 illus.)

Collana

Theoretical Computer Science and General Issues, , 2512-2029 ; ; 10338

Disciplina

572.8028563

Soggetti

Computer science

Algorithms

Computer vision

Artificial intelligence

Application software

Theory of Computation

Computer Vision

Artificial Intelligence

Computer and Information Systems Applications

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

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 -- Applications.

Sommario/riassunto

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.