Zobrazeno 1 - 10
of 1 632
pro vyhledávání: '"P Queiros"'
In this work, we study the effectiveness of employing archetypal aperiodic sequencing -- namely Fibonacci, Thue-Morse, and Rudin-Saphiro -- on the Parrondian effect. From a capital gain perspective, our results show that these series do yield a Parro
Externí odkaz:
http://arxiv.org/abs/2410.02987
Autor:
Bioucas, Francisco E. B., Queirós, Carla S. G. P., Lozano-Martín, Daniel, Ferreira, M. S., Paredes, Xavier, Santos, Ângela F., Santos, Fernando J. V., Lopes, Manuel L. M., Lampreia, Isabel M. S., Lourenço, Maria José V., de Castro, Carlos A. Nieto, Massonne, Klemens
Publikováno v:
Ind. Eng. Chem. Res. 2022, 61, 5, 2280-2305
Ionic liquids have proved to be excellent heat transfer fluids and alternatives to common HTFs used in industries for heat exchangers and other heat transfer equipment. However, its industrial utilization depends on the cost per kg of its production,
Externí odkaz:
http://arxiv.org/abs/2409.04070
Autor:
Betti, Lorenzo, Campos, Jordy Queiros, Lechantre, Amandine, Cailly-Brandstater, Lea, Nouma, Sarra, Fresnais, Jérôme, Barthel, Etienne, Bouret, Yann, Noblin, Xavier, Cohen, Céline
We have explored receding contact line dynamics on superhydrophobic surfaces, composed of micropillars arrays. We present here dynamic receding contact angle measurements of water on such surfaces, covering contact line speeds spanning over five deca
Externí odkaz:
http://arxiv.org/abs/2408.04992
In this manuscript, we investigate the stochastic thermodynamics of Fisher information (FI), meaning we characterize both the \textit{fluctuations} of FI, introducing a parastatistics of that quantity, and thermodynamic quantities. We introduce two i
Externí odkaz:
http://arxiv.org/abs/2405.15685
Autor:
Fernández-Rodríguez, Marcos, Silva, Bruno, Queirós, Sandro, Torres, Helena R., Oliveira, Bruno, Morais, Pedro, Buschle, Lukas R., Correia-Pinto, Jorge, Lima, Estevão, Vilaça, João L.
Publikováno v:
Proceedings Volume 12928, Medical Imaging 2024: Image-Guided Procedures, Robotic Interventions, and Modeling; 1292827 (2024)
Surgical instrument segmentation in laparoscopy is essential for computer-assisted surgical systems. Despite the Deep Learning progress in recent years, the dynamic setting of laparoscopic surgery still presents challenges for precise segmentation. T
Externí odkaz:
http://arxiv.org/abs/2403.10216
This study presents a deep convolutional auto-encoder network for filtering reverberation artifacts, from transthoracic echocardiographic (TTE) image sequences. Given the spatiotemporal nature of these artifacts, the filtering network was built using
Externí odkaz:
http://arxiv.org/abs/2401.13147
Autor:
Galazis, Christoforos, Shepperd, Samuel, Brouwer, Emma, Queirós, Sandro, Alskaf, Ebraham, Anjari, Mustafa, Chiribiri, Amedeo, Lee, Jack, Bharath, Anil A., Varela, Marta
The functional analysis of the left atrium (LA) is important for evaluating cardiac health and understanding diseases like atrial fibrillation. Cine MRI is ideally placed for the detailed 3D characterization of LA motion and deformation but is lackin
Externí odkaz:
http://arxiv.org/abs/2312.09387
With the growing connectivity demands, Unmanned Aerial Vehicles (UAVs) have emerged as a prominent component in the deployment of Next Generation On-demand Wireless Networks. However, current UAV positioning solutions typically neglect the impact of
Externí odkaz:
http://arxiv.org/abs/2310.07031
The increasing complexity of recent Wi-Fi amendments is making the use of traditional algorithms and heuristics unfeasible to address the Rate Adaptation (RA) problem. This is due to the large combination of configuration parameters along with the hi
Externí odkaz:
http://arxiv.org/abs/2310.05772
Publikováno v:
Physics 5.3 (2023): 911-922
We study the Galam's majority-rule model in the presence of an independent behavior that can be driven intrinsically or can be mediated by information regarding the collective opinion of the whole population. We first apply the mean-field approach wh
Externí odkaz:
http://arxiv.org/abs/2307.13764