Zobrazeno 1 - 10
of 6 977
pro vyhledávání: '"Llorca P"'
Autor:
Cabedo, V., Pareras, G., Allitt, J., Rimola, A., Llorca, J., Yiu, H. H. P., McCoustra, M. R. S.
Current models of chemical evolution during star and planetary formation rely on the presence of dust grains to act as a third body. However, they generally ignore the reactivity of the dust grains themselves. Dust grains present in the protoplanetar
Externí odkaz:
http://arxiv.org/abs/2410.23012
Parametric channel estimation in mmWave not only enables the anticipated large spectral efficiency gains of \acs{MIMO} systems but also reveals important propagation parameters, allowing for a low complexity representation of the channel matrix. In t
Externí odkaz:
http://arxiv.org/abs/2409.01166
Autor:
Serrano, Sergio Martín, Blanco, Óscar Méndez, Worrall, Stewart, Sotelo, Miguel Ángel, Fernández-Llorca, David
Understanding cultural backgrounds is crucial for the seamless integration of autonomous driving into daily life as it ensures that systems are attuned to diverse societal norms and behaviours, enhancing acceptance and safety in varied cultural conte
Externí odkaz:
http://arxiv.org/abs/2408.03003
NextG (5G and beyond) networks, through the increasing integration of cloud/edge computing technologies, are becoming highly distributed compute platforms ideally suited to host emerging resource-intensive and latency-sensitive applications (e.g., in
Externí odkaz:
http://arxiv.org/abs/2407.08710
Autor:
Martínez, Antonio Hernández, Daza, Iván García, López, Carlos Fernández, Llorca, David Fernández
Accurate vision-based speed estimation is much more cost-effective than traditional methods based on radar or LiDAR. However, it is also challenging due to the limitations of perspective projection on a discrete sensor, as well as the high sensitivit
Externí odkaz:
http://arxiv.org/abs/2407.08380
Autor:
Serrano, Sergio. Martín, Izquierdo, Rubén, Daza, Iván García, Sotelo, Miguel Ángel, Llorca, D. Fernández
In the field of autonomous driving research, the use of immersive virtual reality (VR) techniques is widespread to enable a variety of studies under safe and controlled conditions. However, this methodology is only valid and consistent if the conduct
Externí odkaz:
http://arxiv.org/abs/2407.04070
Autor:
Fernandes S, Fond G, Zendjidjian XY, Baumstarck K, Lançon C, Berna F, Schurhoff F, Aouizerate B, Henry C, Etain B, Samalin L, Leboyer M, Llorca PM, Coldefy M, Auquier P, Boyer L
Publikováno v:
Patient Preference and Adherence, Vol Volume 14, Pp 2147-2161 (2020)
Sara Fernandes,1 Guillaume Fond,1 Xavier Yves Zendjidjian,1 Karine Baumstarck,1 Christophe Lançon,1 Fabrice Berna,2 Franck Schurhoff,2 Bruno Aouizerate,2 Chantal Henry,2 Bruno Etain,2 Ludovic Samalin,2 Marion Leboyer,2 Pierre-Michel Llorca,2 Magali
Externí odkaz:
https://doaj.org/article/0550eab385f14153ae7ea77c0ecd192e
Autor:
Fernandes S, Fond G, Zendjidjian X, Michel P, Baumstarck K, Lancon C, Berna F, Schurhoff F, Aouizerate B, Henry C, Etain B, Samalin L, Leboyer M, Llorca PM, Coldefy M, Auquier P, Boyer L
Publikováno v:
Patient Preference and Adherence, Vol Volume 13, Pp 165-177 (2019)
Sara Fernandes,1 Guillaume Fond,1 Xavier Zendjidjian,1 Pierre Michel,1 Karine Baumstarck,1 Christophe Lancon,1 Fabrice Berna,2 Franck Schurhoff,2 Bruno Aouizerate,2 Chantal Henry,2 Bruno Etain,2 Ludovic Samalin,2 Marion Leboyer,2 Pierre-Michel Llorca
Externí odkaz:
https://doaj.org/article/fdfeb38516984602a28e4ee6c9a0d94a
Grain growth competition during directional solidification of a polycrystal with hexagonal (hcp) symmetry (Mg-1wt%Gd alloy) is studied by phase-field modeling, exploring the effect of the temperature gradient G on the resulting grain boundary (GB) or
Externí odkaz:
http://arxiv.org/abs/2403.07416
Autor:
Llorca, David Fernández, Hamon, Ronan, Junklewitz, Henrik, Grosse, Kathrin, Kunze, Lars, Seiniger, Patrick, Swaim, Robert, Reed, Nick, Alahi, Alexandre, Gómez, Emilia, Sánchez, Ignacio, Kriston, Akos
This study explores the complexities of integrating Artificial Intelligence (AI) into Autonomous Vehicles (AVs), examining the challenges introduced by AI components and the impact on testing procedures, focusing on some of the essential requirements
Externí odkaz:
http://arxiv.org/abs/2403.14641