Zobrazeno 1 - 10
of 48
pro vyhledávání: '"Juan Pedro Dominguez-Morales"'
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Externí odkaz:
https://doaj.org/article/560b356476704738b30e51b6e78071fe
Autor:
Lourdes Duran-Lopez, Juan Pedro Dominguez-Morales, Jesús Corral-Jaime, Saturnino Vicente-Diaz, Alejandro Linares-Barranco
Publikováno v:
Applied Sciences, Vol 10, Iss 16, p 5683 (2020)
The COVID-19 pandemic caused by the new coronavirus SARS-CoV-2 has changed the world as we know it. An early diagnosis is crucial in order to prevent new outbreaks and control its rapid spread. Medical imaging techniques, such as X-ray or chest compu
Externí odkaz:
https://doaj.org/article/30893f57fedb47a584962f755dac24b7
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:
Niccolò Marini, Sebastian Otalora, Marek Wodzinski, Selene Tomassini, Aldo Franco Dragoni, Stephane Marchand-Maillet, Juan Pedro Dominguez Morales, Lourdes Duran-Lopez, Simona Vatrano, Henning Müller, Manfredo Atzori
Computational pathology targets the automatic analysis of Whole Slide Images (WSI). WSIs are high-resolution digitized histopathology images, stained with chemical reagents to highlight specific tissue structures and scanned via whole slide scanners.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bfe113fd468c452c58b3b7c3ea7c0854
https://hdl.handle.net/11577/3480851
https://hdl.handle.net/11577/3480851
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:
Lourdes Duran-Lopez, Antonio Felix Conde-Martin, Juan Pedro Dominguez-Morales, Alejandro Linares-Barranco, Saturnino Vicente-Diaz
Publikováno v:
IEEE Access, Vol 8, Pp 128613-128628 (2020)
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Prostate cancer is currently one of the most commonly-diagnosed types of cancer among males. Although its death rate has dropped in the last decades, it is still a major concern and one of the leading causes of cancer death. Prostate biopsy is a test
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10fc3b643814e91033d06fd76f1c56ee
https://ieeexplore.ieee.org/document/9139241/
https://ieeexplore.ieee.org/document/9139241/
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