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of 4
pro vyhledávání: '"Jan Behrenbeck"'
Publikováno v:
Scopus-Elsevier
Engineering students need to be prepared for future work environments in which transdisciplinary collaboration and innovative behaviour are key to sustainable success. Classical technical skills will not be sufficient to find adequate solutions to co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70139ffb88c2555e0434148e05206c63
https://mediatum.ub.tum.de/1575367
https://mediatum.ub.tum.de/1575367
Autor:
Zied Tayeb, Nikola Kasabov, Josafath I. Espinosa-Ramos, Cyrine Bhiri, Gordon Cheng, Steve Furber, Christoph Richter, Jan Behrenbeck, Jörg Conradt, Oliver Rhodes
Publikováno v:
Behrenbeck, J, Tayeb, Z, Bhiri, C, Richter, C, Rhodes, O, Kasabov, N, Espinosa-Ramos, J, Furber, S, Cheng, G & Conradt, J 2019, ' Classification and regression of spatio-temporal signals using NeuCube and its realization on SpiNNaker neuromorphic hardware ', Journal of Neural Engineering, vol. 16, no. 2, 026014 . https://doi.org/10.1088/1741-2552/aafabc
Objective. The objective of this work is to use the capability of spiking neural networks to capture the spatio-temporal information encoded in time-series signals and decode them without the use of hand-crafted features and vector-based learning and
Autor:
Rafael Hostettler, Tobias Sebastian Schmidt, Kevin Burger, Kristin Paetzold, Markus Zimmermann, Jan Behrenbeck
The more dynamic and unpredictable the development constraints, the more agile the development project should be to cope with and utilize inherent change. Especially in such contexts, aligning with the project's mission and vision, committing to next
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28751bdd383354cdef76783782110016
https://mediatum.ub.tum.de/1523523
https://mediatum.ub.tum.de/1523523
Autor:
Jan Behrenbeck, Zied Tayeb, Cyrine Bhiri, Christoph Richter, Oliver Rhodes, Nikola Kasabov, Josafath I Espinosa-Ramos, Steve Furber, Gordon Cheng, Jörg Conradt
Publikováno v:
Journal of Neural Engineering; Apr2019, Vol. 16 Issue 2, p1-1, 1p