Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Daniel Gutierrez-galan"'
Autor:
Thorben Schoepe, Daniel Gutierrez-Galan, Juan P Dominguez-Morales, Hugh Greatorex, Angel Jimenez-Fernandez, Alejandro Linares-Barranco, Elisabetta Chicca
Publikováno v:
Neuromorphic Computing and Engineering, Vol 3, Iss 2, p 024009 (2023)
Sound source localization (SSL) is used in various applications such as industrial noise-control, speech detection in mobile phones, speech enhancement in hearing aids and many more. Newest video conferencing setups use SSL. The position of a speaker
Externí odkaz:
https://doaj.org/article/78c96e5257db4507a312be1f55c64b0b
Autor:
Juan P. Dominguez-Morales, Lourdes Duran-Lopez, Daniel Gutierrez-Galan, Antonio Rios-Navarro, Alejandro Linares-Barranco, Angel Jimenez-Fernandez
Publikováno v:
Sensors, Vol 21, Iss 9, p 2975 (2021)
Monitoring animals’ behavior living in wild or semi-wild environments is a very interesting subject for biologists who work with them. The difficulty and cost of implanting electronic devices in this kind of animals suggest that these devices must
Externí odkaz:
https://doaj.org/article/adcc3a5588e5413e81af6b42d5951587
Autor:
Lourdes Duran-Lopez, Juan P. Dominguez-Morales, Antonio Rios-Navarro, Daniel Gutierrez-Galan, Angel Jimenez-Fernandez, Saturnino Vicente-Diaz, Alejandro Linares-Barranco
Publikováno v:
Sensors, Vol 21, Iss 4, p 1122 (2021)
Prostate cancer (PCa) is the second most frequently diagnosed cancer among men worldwide, with almost 1.3 million new cases and 360,000 deaths in 2018. As it has been estimated, its mortality will double by 2040, mostly in countries with limited reso
Externí odkaz:
https://doaj.org/article/7a78799af3d2458bb693c122ad2ff2ea
Autor:
Daniel Gutierrez-Galan, Antonio Rios-Navarro, Juan Pedro Dominguez-Morales, Lourdes Duran-Lopez, Gabriel Jimenez-Moreno, Angel Jimenez-Fernandez
Publikováno v:
Neural Processing Letters. 55:1281-1292
Neuromorphic computation processes sensors output in the spiking domain, which presents constraints in many cases when converting information to spikes, loosing, as example, temporal accuracy. This paper presents a spike-based system to adapt audio i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a45b33b6ac4bad27e4f1cdb6af4b2c1
https://doi.org/10.1007/s11063-022-10936-0
https://doi.org/10.1007/s11063-022-10936-0
Autor:
Alejandro Linares-Barranco, Elisabetta Chicca, Hugh Greatorex, Juan Pedro Dominguez-Morales, Daniel Gutierrez-galan, Thorben Schoepe
Sound source localization is used in various applications such as industrial noise-control, speech detection in mobile phones, speech enhancement in hearing aids and many more. Newest video conferencing setups use sound source localization. The posit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46d567e9e0124ec127a96434e4b348c7
https://doi.org/10.36227/techrxiv.21493290
https://doi.org/10.36227/techrxiv.21493290
Autor:
Manuel Domínguez-Morales, Lourdes Duran-Lopez, Angel Jimenez-Fernandez, Daniel Gutierrez-Galan, Juan Pedro Dominguez-Morales, Antonio Rios-Navarro
Publikováno v:
Neurocomputing. 449:172-175
Visualizing the output from event-based sensors and analyzing the information within it is crucial when developing new neuromorphic systems. A novel open-source, cross-platform Python package called pyNAVIS is proposed, which provides a set of functi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fae477ba650e41f35feef4aad803daad
https://doi.org/10.1016/j.neucom.2021.03.121
https://doi.org/10.1016/j.neucom.2021.03.121
Autor:
Gabriel Jimenez-Moreno, Juan Pedro Dominguez-Morales, Angel Jimenez-Fernandez, Alejandro Linares-Barranco, Daniel Gutierrez-Galan
Publikováno v:
Neurocomputing. 436:35-38
OpenNAS is an open-source tool for automatically generating the source files to create a Neuromorphic Auditory Sensor (NAS) VHDL project for FPGA. OpenNAS guides the user with a friendly interface that allows configuring the NAS’ parameters using a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2058d584e96e050cfad2fe61e07ddc4b
https://doi.org/10.1016/j.neucom.2020.12.062
https://doi.org/10.1016/j.neucom.2020.12.062
Autor:
Fernando Perez-Peña, Alejandro Linares-Barranco, Angel Jimenez-Fernandez, Juan Pedro Dominguez-Morales, Daniel Gutierrez-Galan
Publikováno v:
Neurocomputing. 381:10-19
Initially, robots were developed with the aim of making our life easier, carrying out repetitive or dangerous tasks for humans. Although they were able to perform these tasks, the latest generation of robots are being designed to take a step further,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a3847944e636d7d93f3a2ab43ca61899
https://doi.org/10.1016/j.neucom.2019.11.007
https://doi.org/10.1016/j.neucom.2019.11.007
Autor:
Angel Jimenez-Fernandez, Thorben Schoepe, Daniel Gutierrez-Galan, Alejandro Linares-Barranco, Juan Pedro Dominguez-Morales, Elisabetta Chicca
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems, 33(5), 1959-1973
Neuromorphic systems are a viable alternative to conventional systems for real-time tasks with constrained resources. Their low power consumption, compact hardware realization, and low-latency response characteristics are the key ingredients of such
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e48497e23e7802fd20078a9dd3ebedc
Autor:
Daniel Gutierrez-Galan, Antonio Rios-Navarro, Juan Pedro Dominguez-Morales, Lourdes Duran-Lopez, Manuel Domínguez-Morales, Ricardo Tapiador-Morales, Enrique Piñero-Fuentes
Publikováno v:
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
Electronics
Volume 10
Issue 1
Electronics, Vol 10, Iss 94, p 94 (2021)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Universidad de Sevilla (US)
Electronics
Volume 10
Issue 1
Electronics, Vol 10, Iss 94, p 94 (2021)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
The use of deep learning solutions in different disciplines is increasing and their algorithms are computationally expensive in most cases. For this reason, numerous hardware accelerators have appeared to compute their operations efficiently in paral
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40d58a5f2f8145b12052ff156d135f01