Zobrazeno 1 - 10
of 453
pro vyhledávání: '"A. Alamia"'
The European Union strategy for net zero emissions relies on developing hydrogen and electro fuels infrastructure. These fuels will be crucial as energy carriers and balancing agents for renewable energy variability. Large scale production requires m
Externí odkaz:
http://arxiv.org/abs/2406.00442
Autor:
Domenico Savio Salvatore Vicari, Antonino Patti, Valerio Giustino, Giacomo Belmonte, Giuseppe Alamia, Marco Gervasi, Eneko Fernández Peña, Antonio Palma, Federico Schena, Antonino Bianco, Ewan Thomas
Publikováno v:
Frontiers in Sports and Active Living, Vol 6 (2024)
IntroductionWhile pedaling, cyclists rest their pelvis on the saddle, generating pressures on it. The pressures generated on the saddle are influenced by several factors. This study aimed to evaluate whether the flexibility of hamstring and lower bac
Externí odkaz:
https://doaj.org/article/3589d1c1e27a41e5b5c5b7d65bf80f1d
Autor:
Lyamzin, Dmitry R.1 (AUTHOR) dmitry@benuccilab.net, Alamia, Andrea2 (AUTHOR), Abdolrahmani, Mohammad1 (AUTHOR), Aoki, Ryo1 (AUTHOR), Benucci, Andrea3 (AUTHOR) andrea@benuccilab.net
Publikováno v:
PLoS Computational Biology. 10/15/2024, Vol. 20 Issue 10, p1-25. 25p.
Autor:
La Monica, Gabriele1 (AUTHOR) gabriele.lamonica01@unipa.it, Alamia, Federica1 (AUTHOR), Bono, Alessia1 (AUTHOR), Lauria, Antonino1 (AUTHOR), Martorana, Annamaria1 (AUTHOR) annamaria.martorana@unipa.it
Publikováno v:
Molecules. Jun2024, Vol. 29 Issue 12, p2813. 23p.
Publikováno v:
In Bioorganic & Medicinal Chemistry 15 July 2024 109
Autor:
Vaishnav, Mohit, Cadene, Remi, Alamia, Andrea, Linsley, Drew, VanRullen, Rufin, Serre, Thomas
Publikováno v:
Neural Computation, 2022
Visual understanding requires comprehending complex visual relations between objects within a scene. Here, we seek to characterize the computational demands for abstract visual reasoning. We do this by systematically assessing the ability of modern d
Externí odkaz:
http://arxiv.org/abs/2108.03603
Brain-inspired machine learning is gaining increasing consideration, particularly in computer vision. Several studies investigated the inclusion of top-down feedback connections in convolutional networks; however, it remains unclear how and when thes
Externí odkaz:
http://arxiv.org/abs/2106.04225
Autor:
Choksi, Bhavin, Mozafari, Milad, O'May, Callum Biggs, Ador, Benjamin, Alamia, Andrea, VanRullen, Rufin
Deep neural networks excel at image classification, but their performance is far less robust to input perturbations than human perception. In this work we explore whether this shortcoming may be partly addressed by incorporating brain-inspired recurr
Externí odkaz:
http://arxiv.org/abs/2106.02749
Autor:
Gabriele La Monica, Giuseppe Pizzolanti, Concetta Baiamonte, Alessia Bono, Federica Alamia, Francesco Mingoia, Antonino Lauria, Annamaria Martorana
Publikováno v:
ACS Omega, Vol 8, Iss 38, Pp 34640-34649 (2023)
Externí odkaz:
https://doaj.org/article/e90612052424426d928f071e5ce8f93c
Autor:
VanRullen, Rufin, Alamia, Andrea
Transformer attention architectures, similar to those developed for natural language processing, have recently proved efficient also in vision, either in conjunction with or as a replacement for convolutional layers. Typically, visual attention is in
Externí odkaz:
http://arxiv.org/abs/2104.05575