Zobrazeno 1 - 10
of 245 021
pro vyhledávání: '"A A Nascimento"'
The emergence of machine learning (ML) has led to a transformative shift in software techniques and guidelines for building software applications that support data analysis process activities such as data ingestion, modeling, and deployment. Specific
Externí odkaz:
http://arxiv.org/abs/2501.00532
Let $G$ be a graph and $S \subseteq V(G)$. In the cycle convexity, we say that $S$ is \textit{cycle convex} if for any $u\in V(G)\setminus S$, the induced subgraph of $S\cup\{u\}$ contains no cycle that includes $u$. The \textit{cycle convex hull} of
Externí odkaz:
http://arxiv.org/abs/2412.19258
Autor:
Bellotti, S., Petit, P., Jeffers, S. V., Marsden, S. C., Morin, J., Vidotto, A. A., Folsom, C. P., See, V., Nascimento Jr, J. -D. do
The magnetic cycle on the Sun consists of two consecutive 11-yr sunspot cycles and exhibits a polarity reversal around sunspot maximum. Although solar dynamo theories have progressively become more sophisticated, the details as to how the dynamo sust
Externí odkaz:
http://arxiv.org/abs/2412.09365
We investigate the $\mathcal{N} = 2$ supersymmetric generalization of the dual equivalence between the Maxwell-Chern-Simons model and two massive self-dual models. One of the self-dual models is described by a real scalar superfield, while the other
Externí odkaz:
http://arxiv.org/abs/2412.07622
Autor:
Guevara, Jorge, Nascimento, Victor, Schmude, Johannes, Salles, Daniel, Corbeil-Létourneau, Simon, Surcel, Madalina, Brunet, Dominique
Wind downscaling is essential for improving the spatial resolution of weather forecasts, particularly in operational Numerical Weather Prediction (NWP). This study advances wind downscaling by extending the DownGAN framework introduced by Annau et al
Externí odkaz:
http://arxiv.org/abs/2412.06958
Supervised machine learning methods require large-scale training datasets to perform well in practice. Synthetic data has been showing great progress recently and has been used as a complement to real data. However, there is yet a great urge to asses
Externí odkaz:
http://arxiv.org/abs/2412.05466
The human-robot interaction (HRI) is a growing area of research. In HRI, complex command (action) classification is still an open problem that usually prevents the real applicability of such a technique. The literature presents some works that use ne
Externí odkaz:
http://arxiv.org/abs/2412.02863
In this work, we propose a minimalistic swarm flocking approach for multirotor unmanned aerial vehicles (UAVs). Our approach allows the swarm to achieve cohesively and aligned flocking (collective motion), in a random direction, without externally pr
Externí odkaz:
http://arxiv.org/abs/2412.02881
This paper addresses the problem of thrust estimation and control for the rotors of small-sized multirotors Uncrewed Aerial Vehicles (UAVs). Accurate control of the thrust generated by each rotor during flight is one of the main challenges for robust
Externí odkaz:
http://arxiv.org/abs/2412.02874
Clustering data using prior domain knowledge, starting from a partially labeled set, has recently been widely investigated. Often referred to as semi-supervised clustering, this approach leverages labeled data to enhance clustering accuracy. To maxim
Externí odkaz:
http://arxiv.org/abs/2411.14728