Zobrazeno 1 - 10
of 24 435
pro vyhledávání: '"A. de Camargo"'
Publikováno v:
European Physical Journal C: Particles and Fields, Vol 82, Iss 10, Pp 1-8 (2022)
Abstract In this work we consider the Einstein–Hilbert action in the first order order formalism coupled to Dirac spinors. From the little group symmetry, we derive the corresponding Bargmann–Wigner current which is conserved but not gauge invari
Externí odkaz:
https://doaj.org/article/6d70ecdd39f24b4a8b870750dbea2eef
When combined with In-Context Learning, a technique that enables models to adapt to new tasks by incorporating task-specific examples or demonstrations directly within the input prompt, autoregressive language models have achieved good performance in
Externí odkaz:
http://arxiv.org/abs/2410.13118
Autor:
Verbas, Omer, Cokyasar, Taner, de Camargo, Pedro Veiga, Gurumurthy, Krishna Murthy, Zuniga-Garcia, Natalia, Auld, Joshua
This study presents a transit routing, assignment, and simulation framework which is fully embedded in a multimodal, multi-agent transportation demand and supply modeling platform. POLARIS, a high-performance agent-based simulation platform, efficien
Externí odkaz:
http://arxiv.org/abs/2408.05176
Automated classification of electroencephalogram (EEG) signals is complex due to their high dimensionality, non-stationarity, low signal-to-noise ratio, and variability between subjects. Deep neural networks (DNNs) have shown promising results for EE
Externí odkaz:
http://arxiv.org/abs/2405.14994
Orbital-free density functional theory (OF-DFT) for real-space systems has historically depended on Lagrange optimization techniques, primarily due to the inability of previously proposed electron density approaches to ensure the normalization constr
Externí odkaz:
http://arxiv.org/abs/2404.08764
Autor:
Carrara, Igor, Aristimunha, Bruno, Corsi, Marie-Constance, de Camargo, Raphael Y., Chevallier, Sylvain, Papadopoulo, Théodore
Objective: The integration of Deep Learning (DL) algorithms on brain signal analysis is still in its nascent stages compared to their success in fields like Computer Vision. This is particularly true for BCI, where the brain activity is decoded to co
Externí odkaz:
http://arxiv.org/abs/2403.05645
Adaptive Systems (ASs) are capable to monitor their behavior and make adjustments when quality goals are not achieved through the MAPE-K, a widely recognized reference model that offers abstractions for designing ASs. By making these abstractions evi
Externí odkaz:
http://arxiv.org/abs/2401.16382
Electroencephalography (EEG) signals are frequently used for various Brain-Computer Interface (BCI) tasks. While Deep Learning (DL) techniques have shown promising results, they are hindered by the substantial data requirements. By leveraging data fr
Externí odkaz:
http://arxiv.org/abs/2401.10746
Orbital-free density functional theory (OF-DFT) provides an alternative approach for calculating the molecular electronic energy, relying solely on the electron density. In OF-DFT, both the ground-state density is optimized variationally to minimize
Externí odkaz:
http://arxiv.org/abs/2311.13518
Publikováno v:
AIDS Research and Therapy, Vol 21, Iss 1, Pp 1-4 (2024)
Abstract The main objective of the study was to assess the occurrence of non-aids-related comorbidities typical of aging in people living with HIV diagnosis 20 years ago or more and under treatment with antiretroviral drugs for a long time. The assoc
Externí odkaz:
https://doaj.org/article/a7042ab01e2f42d392666356b571f0bb