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of 2 535
pro vyhledávání: '"de Lucas P"'
Physical rehabilitation plays a crucial role in restoring functional abilities, but traditional approaches often face challenges in terms of cost, accessibility, and personalized monitoring. Asynchronous physical rehabilitation has gained traction as
Externí odkaz:
http://arxiv.org/abs/2411.12542
Autor:
Martin-Domenech, Rafael, Öberg, Karin I., Caro, Guillermo M. Muñoz, de Lucas, Héctor Carrascosa, Fuente, Asunción, Rajappan, Mahesh
Understanding the formation of carbonyl sulfide (OCS) in interstellar ices is key to constrain the sulfur chemistry in the interstellar medium (ISM), since it is the only ice S-bearing molecule securely detected thus far. Two general pathways for OCS
Externí odkaz:
http://arxiv.org/abs/2410.07736
k-Contact geometry appeared as a generalisation of contact geometry to analyse field theories. This work provides a new insightful approach to k-contact geometry by devising a theory of k-contact forms and proving that the kernel of a k-contact form
Externí odkaz:
http://arxiv.org/abs/2409.11001
Autor:
Alvarez, Mariela De Lucas
Autonomous robots consistently encounter unforeseen dangerous situations during exploration missions. The characteristic rimless wheels in the AsguardIV rover allow it to overcome challenging terrains. However, steep slopes or difficult maneuvers can
Externí odkaz:
http://arxiv.org/abs/2408.05602
Autor:
de Lucas, J Marco
In our previous work, we proposed that engrams in the brain could be biologically implemented as autoencoders over recurrent neural networks. These autoencoders would comprise basic excitatory/inhibitory motifs, with credit assignment deriving from a
Externí odkaz:
http://arxiv.org/abs/2407.16616
Terrain Classification is an essential task in space exploration, where unpredictable environments are difficult to observe using only exteroceptive sensors such as vision. Implementing Neural Network classifiers can have high performance but can be
Externí odkaz:
http://arxiv.org/abs/2407.03241
We have previously presented the idea of how complex multimodal information could be represented in our brains in a compressed form, following mechanisms similar to those employed in machine learning tools, like autoencoders. In this short comment no
Externí odkaz:
http://arxiv.org/abs/2406.09940
Autor:
Da Paz, Ícaro Rodolfo Soares Coelho, Silva, Pedro F. A., de Lucas, Helena Bordini, Lira, Sérgio H. A., Rosso, Osvaldo A., Matias, Fernanda Selingardi
How the human brain processes information during different cognitive tasks is one of the greatest questions in contemporary neuroscience. Understanding the statistical properties of brain signals during specific activities is one promising way to add
Externí odkaz:
http://arxiv.org/abs/2404.17981
By using the theory of analytic vectors and manifolds modelled on normed spaces, we provide a rigorous symplectic differential geometric approach to $t$-dependent Schr\"odinger equations on separable (possibly infinite-dimensional) Hilbert spaces det
Externí odkaz:
http://arxiv.org/abs/2312.09192
Autor:
Grundland, A. M., de Lucas, J.
We introduce families of quasi-rectifiable vector fields and study their geometric and algebraic aspects. Then, we analyse their applications to systems of partial differential equations. Our results explain, in a simpler manner, previous findings ab
Externí odkaz:
http://arxiv.org/abs/2312.05238