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: Lecture Notes in Computer Science, cartea 10338
Editat de José Manuel Ferrández Vicente, José Ramón Álvarez-Sánchez, Félix de la Paz López, Javier Toledo Moreo, Hojjat Adelien Limba Engleză Paperback – 27 mai 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.
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Specificații
ISBN-13: 9783319597720
ISBN-10: 3319597728
Pagini: 562
Ilustrații: XXI, 562 p. 214 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.81 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Cham, Switzerland
ISBN-10: 3319597728
Pagini: 562
Ilustrații: XXI, 562 p. 214 illus.
Dimensiuni: 155 x 235 mm
Greutate: 0.81 kg
Ediția:1st ed. 2017
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Theoretical Computer Science and General Issues
Locul publicării:Cham, Switzerland
Cuprins
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.
Caracteristici
Includes supplementary material: sn.pub/extras