Zobrazeno 1 - 10
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pro vyhledávání: '"Alejandro, Sánchez"'
In this paper, we propose LiOn-XA, an unsupervised domain adaptation (UDA) approach that combines LiDAR-Only Cross-Modal (X) learning with Adversarial training for 3D LiDAR point cloud semantic segmentation to bridge the domain gap arising from envir
Externí odkaz:
http://arxiv.org/abs/2410.15833
Velocity Obstacles (VO) methods form a paradigm for collision avoidance strategies among moving obstacles and agents. While VO methods perform well in simple multi-agent environments, they don't guarantee safety and can show overly conservative behav
Externí odkaz:
http://arxiv.org/abs/2409.10117
Autor:
Linares, Hector, Ribas, Eduard Masana Salvador J, García-Gil, Manuel, Aubé, Martin, de Miguel, Alejandro Sánchez, Simoneau, Alexandre
Publikováno v:
Journal of Quantitative Spectroscopy and Radiative Transfer, Volume 309, 2023, 108678
Zenith sky brightness maps in the V and B bands of the region of Catalonia are presented in this paper. For creating them we have used the light pollution numerical model Illumina v2. The maps have a sampling of 5x5 km for the whole region with an im
Externí odkaz:
http://arxiv.org/abs/2403.00112
In this work we analyze the evolution of the quantum Mixmaster cosmological model within an effective approach. In particular, we study the behaviour of the scale factor and anisotropies of the theory, and determine how it deviates from its classical
Externí odkaz:
http://arxiv.org/abs/2401.03594
Publikováno v:
BMC Biology, Vol 22, Iss 1, Pp 1-15 (2024)
Abstract Background Understanding how genes function to heal wounds and restore lost tissue is essential for studying regeneration. Whole-mount in situ hybridization (WISH) is a powerful and widely used technique to visualize the expression patterns
Externí odkaz:
https://doaj.org/article/8bbec81549374ddcb7eaed0d6ce9ba30
Autor:
Alejandra Amaro-Loza, Adrián Pedrozo-Acuña, Alejandro Sánchez-Huerta, Norma Patricia López-Acosta
Publikováno v:
Tecnología y ciencias del agua, Vol 15, Iss 6, Pp 423-470 (2024)
En este trabajo se presenta una aplicación práctica del uso de las tecnologías de la información y comunicación (TIC) en la gestión de riesgos de desastres debidos a precipitaciones extremas en regiones urbanas. El objetivo es plantear, a parti
Externí odkaz:
https://doaj.org/article/463e4c467b3c4a6ca6563e58c3e05bb6
Autor:
Bustamante-Calabria, Máximo, Martín-Ruiz, Susana, de Miguel, Alejandro Sánchez, Ortiz, J. L., Vílchez, J. M., Aceituno, Jesús
Evidence of the negative impact of light pollution on ecosystems is increasing every year. Its monitoring and study requires the identification, characterisation and control of the emitting sources. This is the case of urban centres with outdoor ligh
Externí odkaz:
http://arxiv.org/abs/2305.12009
The data collected from a vehicle's Controller Area Network (CAN) can quickly exceed human analysis or annotation capabilities when considering fleets of vehicles, which stresses the importance of unsupervised machine learning methods. This work pres
Externí odkaz:
http://arxiv.org/abs/2301.04988
In this work, we address the problem of unsupervised moving object segmentation (MOS) in 4D LiDAR data recorded from a stationary sensor, where no ground truth annotations are involved. Deep learning-based state-of-the-art methods for LiDAR MOS stron
Externí odkaz:
http://arxiv.org/abs/2212.14750
Autor:
Stephan P. Kaufhold, Alejandro Sánchez-Amaro, Jingzhi Tan, Sofia Fernandez-Navarro, Rebeca Atencia, Federico Rossano
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Humans modify their environment to grant or prevent others’ access to valuable resources, for example by using locks. We tested whether sanctuary-living chimpanzees (N = 10) would flexibly modify their environment to either allow or deny a
Externí odkaz:
https://doaj.org/article/f1e33aeccb6d459789fc62e58ba12135