Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Dustin Carrion-Ojeda"'
Publikováno v:
IEEE Access, Vol 11, Pp 86727-86738 (2023)
RADENN is a domain-specific language designed to rapidly develop fully connected neural networks for classification and regression problems. The primary objective of this language is to make neural network algorithms more accessible to a broader audi
Externí odkaz:
https://doaj.org/article/3fe6cba4df10407b8f1ec61868d55a60
Publikováno v:
IEEE Access, Vol 9, Pp 103244-103257 (2021)
Vehicular accidents cause severe problems in our society including economic, material, and even life losses. The cause of those situations relies on several factors such as traffic density, vehicular flow, lack of traffic signaling and speed limit vi
Externí odkaz:
https://doaj.org/article/a97ce26192c54e13a17e0e1c9c92c3b2
Publikováno v:
IEEE Access, Vol 9, Pp 103244-103257 (2021)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bebeafcfc650fd9f5e3dee5f764b2175
https://doi.org/10.1109/access.2021.3097908
https://doi.org/10.1109/access.2021.3097908
Autor:
Dustin Carrión-Ojeda, Paola Martínez-Arias, Rigoberto Fonseca-Delgado, Israel Pineda, Héctor Mejía-Vallejo
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-24 (2024)
Abstract Biometric systems are essential tools in modern society where most of our personal information lives in digital form. Although there is a significant variety of biometrics, electroencephalogram (EEG) signals are a useful technique to guarant
Externí odkaz:
https://doaj.org/article/60e5964bc82b4c83be5e4410c3a9531a
Publikováno v:
Software Impacts. 8:100062
EBAPy is an easy-to-use Python framework intended to help in the development of EEG-based applications. It allows performing an in-depth analysis of factors that influence the performance of the system and its computational cost. These factors includ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::20f3e0a5b23a1a760cc7f13472b08958
https://doi.org/10.1016/j.simpa.2021.100062
https://doi.org/10.1016/j.simpa.2021.100062