Zobrazeno 1 - 10
of 986 137
pro vyhledávání: '"Pedro, A"'
Adaptive Mixed-Criticality (AMC) is a fixed-priority preemptive scheduling algorithm for mixed-criticality hard real-time systems. It dominates many other scheduling algorithms for mixed-criticality systems, but does so at the cost of occasionally dr
Externí odkaz:
http://arxiv.org/abs/2411.00572
Autor:
Morão, Pedro, Santinha, Joao, Forghani, Yasna, Loução, Nuno, Gouveia, Pedro, Figueiredo, Mario A. T.
Deep learning (DL) models in medical imaging face challenges in generalizability and robustness due to variations in image acquisition parameters (IAP). In this work, we introduce a novel method using conditional denoising diffusion generative models
Externí odkaz:
http://arxiv.org/abs/2410.23835
Recent spacecraft mission concepts propose larger payloads that have lighter, less rigid structures. For large lightweight structures, the natural frequencies of their vibration modes may fall within the attitude controller bandwidth, threatening the
Externí odkaz:
http://arxiv.org/abs/2410.07376
Autor:
Silva, Inês Oliveira e, Jesus, Sérgio, Ferreira, Hugo, Saleiro, Pedro, Sousa, Inês, Bizarro, Pedro, Soares, Carlos
Data used by automated decision-making systems, such as Machine Learning models, often reflects discriminatory behavior that occurred in the past. These biases in the training data are sometimes related to label noise, such as in COMPAS, where more A
Externí odkaz:
http://arxiv.org/abs/2410.06214
Efficient deployment of resource-intensive transformers on edge devices necessitates cross-stack optimization. We thus study the interrelation between structured pruning and systolic acceleration, matching the size of pruned blocks with the systolic
Externí odkaz:
http://arxiv.org/abs/2411.10285
With their potential to significantly reduce traffic accidents, enhance road safety, optimize traffic flow, and decrease congestion, autonomous driving systems are a major focus of research and development in recent years. Beyond these immediate bene
Externí odkaz:
http://arxiv.org/abs/2411.10291
Publikováno v:
Int. J. Multiph. Flow 179 (2024) 104931
Suspensions of finite-size solid particles in a turbulent pipe flow are found in many industrial and technical flows. Due to the ample parameter space consisting of particle size, concentration, density and Reynolds number, a complete picture of the
Externí odkaz:
http://arxiv.org/abs/2411.10162
This paper presents a confidence level-based distributionally information gap decision theory (CL-DIGDT) framework for the two-stage robust optimal operation of distribution networks, aiming at deriving an optimal operational scheme capable of addres
Externí odkaz:
http://arxiv.org/abs/2411.10166
Autor:
Pérez-Aracil, J., Peláez-Rodríguez, C., McAdam, Ronan, Squintu, Antonello, Marina, Cosmin M., Lorente-Ramos, Eugenio, Luther, Niklas, Torralba, Veronica, Scoccimarro, Enrico, Cavicchia, Leone, Giuliani, Matteo, Zorita, Eduardo, Hansen, Felicitas, Barriopedro, David, Garcia-Herrera, Ricardo, Gutiérrez, Pedro A., Luterbacher, Jürg, Xoplaki, Elena, Castelletti, Andrea, Salcedo-Sanz, S.
Heatwaves (HWs) are extreme atmospheric events that produce significant societal and environmental impacts. Predicting these extreme events remains challenging, as their complex interactions with large-scale atmospheric and climatic variables are dif
Externí odkaz:
http://arxiv.org/abs/2411.10108
We introduce CaLES, a GPU-accelerated finite-difference solver designed for large-eddy simulations (LES) of incompressible wall-bounded flows in massively parallel environments. Built upon the existing direct numerical simulation (DNS) solver CaNS, C
Externí odkaz:
http://arxiv.org/abs/2411.09364