Zobrazeno 1 - 10
of 68
pro vyhledávání: '"Josep L. Rosselló"'
Autor:
Josep L. Rosselló, Joan Font-Rosselló, Christiam F. Frasser, Alejandro Morán, Erik Sebastian Skibinsky-Gitlin, Vincent Canals, Miquel Roca
Publikováno v:
IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 13:249-256
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2d3e33c66a0d97f3999e06792ad19fb5
https://doi.org/10.1109/jetcas.2022.3226292
https://doi.org/10.1109/jetcas.2022.3226292
Publikováno v:
IEEE Transactions on Circuits and Systems II: Express Briefs. 67:2712-2716
In recent years Reservoir Computing has arisen as an emerging machine-learning technique that is highly suitable for time-series processing. Nevertheless, due to the high cost in terms of hardware resources, the implementation of these systems in one
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bed82620d9b557865dc13ddd7ff1b00
https://doi.org/10.1109/tcsii.2020.2966320
https://doi.org/10.1109/tcsii.2020.2966320
Publikováno v:
Electronics; Volume 10; Issue 23; Pages: 2985
Electronics, Vol 10, Iss 2985, p 2985 (2021)
Electronics, Vol 10, Iss 2985, p 2985 (2021)
Stochastic computing (SC) is a probabilistic-based processing methodology that has emerged as an energy-efficient solution for implementing image processing and deep learning in hardware. The core of these systems relies on the selection of appropria
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::475efed6b29d2348889b86a2073df63f
Autor:
Vincent Canals, Alejandro Morán, Saeid Safavi, Christian F. Frasser, Josep L. Rosselló, Fabio Galan-Prado, Dhinakar Radhakrishnan
Publikováno v:
Cognitive Computation.
Edge artificial intelligence or edge intelligence is an ever-growing research area due to the current popularization of the Internet of Things. Unfortunately, incorporation of artificial intelligence (AI) in smart devices operating at the edge is a c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::82271f4661f92d8092ddfd077d208559
https://doi.org/10.1007/s12559-020-09798-2
https://doi.org/10.1007/s12559-020-09798-2
Publikováno v:
IJCNN
Mobile systems and by extension Internet of Things (IoT) applications requests more and more Machine Learning functions, thus requiring a big computational power with a small power available. These demands have led to renewed interest in unconvention
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a55f1e32f24487895f0f34f2373ced58
https://doi.org/10.1109/ijcnn48605.2020.9207476
https://doi.org/10.1109/ijcnn48605.2020.9207476
Autor:
Christiam F. Frasser, Miquel Roca, Josep L. Rosselló, Erik S. Skibinsky-Gitlin, Eugeni Isern, Miquel L. Alomar, Vincent Canals
Publikováno v:
Neural Computing and Applications. 32:2299-2313
Reservoir computing (RC) is a powerful machine learning methodology well suited for time-series processing. The hardware implementation of RC systems (HRC) may extend the utility of this neural approach to solve real-life problems for which software
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7f7d8077b462ebc44ae2c52dd624117c
https://doi.org/10.1007/s00521-018-3912-4
https://doi.org/10.1007/s00521-018-3912-4
Publikováno v:
Journal of Computational Chemistry. 39:2371-2377
The theoretical calculation of Surface Site Interaction Points (SSIP) has been used successfully in some applications in the solid and liquid phase. In this work we propose a new set of optimizations for the search of SSIP using the Molecular Electro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b53590bf6ef965366961cc7ddc24867
https://doi.org/10.1002/jcc.25574
https://doi.org/10.1002/jcc.25574
Autor:
Josep L. Rosselló, Eugeni Isern, Miquel L. Alomar, Víctor Martínez-Moll, Eugeni Garcia-Moreno, Antoni Morro, Christiam F. Frasser, Miquel Roca, Antoni Oliver, Vicent Canals
Publikováno v:
Integrated Computer-Aided Engineering. 24:351-365
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c259c1665f6219068f97e2e03fa1dc29
https://doi.org/10.3233/ica-170549
https://doi.org/10.3233/ica-170549
Autor:
Eugeni Isern, Alejandro Morán, Josep L. Rosselló, Miquel Roca, Víctor Martínez-Moll, Vincent Canals
Publikováno v:
DCIS
Internet of Things (IoT) applications and mobile systems are more and more dependent on Machine Learning based solutions, thus requiring a big computational power with a low cost in terms of power consumption. This fact has revived the interest in no
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf90f020b48973c9732a05db082a5a1c
https://doi.org/10.1109/dcis201949030.2019.8959841
https://doi.org/10.1109/dcis201949030.2019.8959841
Publikováno v:
PATMOS
In the recent years, Reservoir Computing arises as an emerging machine-learning technique that is highly suitable for time-series processing. In this work, we propose the implementation of reservoir computing systems in hardware via morphological neu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e1a54eb3e812a3b45ca8309bad1beb09
https://doi.org/10.1109/patmos.2019.8862100
https://doi.org/10.1109/patmos.2019.8862100