Zobrazeno 1 - 10
of 7 855
pro vyhledávání: '"A, Aracil"'
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
Autor:
Camps-Valls, Gustau, Fernández-Torres, Miguel-Ángel, Cohrs, Kai-Hendrik, Höhl, Adrian, Castelletti, Andrea, Pacal, Aytac, Robin, Claire, Martinuzzi, Francesco, Papoutsis, Ioannis, Prapas, Ioannis, Pérez-Aracil, Jorge, Weigel, Katja, Gonzalez-Calabuig, Maria, Reichstein, Markus, Rabel, Martin, Giuliani, Matteo, Mahecha, Miguel, Popescu, Oana-Iuliana, Pellicer-Valero, Oscar J., Ouala, Said, Salcedo-Sanz, Sancho, Sippel, Sebastian, Kondylatos, Spyros, Happé, Tamara, Williams, Tristan
In recent years, artificial intelligence (AI) has deeply impacted various fields, including Earth system sciences. Here, AI improved weather forecasting, model emulation, parameter estimation, and the prediction of extreme events. However, the latter
Externí odkaz:
http://arxiv.org/abs/2406.20080
Autor:
Gómez-Herrera Roger, Alfonso-Triguero Paula, Mao Xiaoman, Mancebo-Aracil Juan, Montpeyó David, Novio Fernando, Lorenzo Julia, Ruiz-Molina Daniel
Publikováno v:
Nanotechnology Reviews, Vol 13, Iss 1, Pp 2115-32 (2024)
Externí odkaz:
https://doaj.org/article/dc5ebbdd1d8740768dca688e0d2b675c
Autor:
Liz-López, Helena, Huertas-Tato, Javier, Pérez-Aracil, Jorge, Casanova-Mateo, Carlos, Sanz-Justo, Julia, Camacho, David
Each year, wildfires destroy larger areas of Spain, threatening numerous ecosystems. Humans cause 90% of them (negligence or provoked) and the behaviour of individuals is unpredictable. However, atmospheric and environmental variables affect the spre
Externí odkaz:
http://arxiv.org/abs/2306.05045
Autor:
Juana Perpiñá-Galvañ, Néstor Montoro-Pérez, Ana Isabel Gutiérrez-García, Lourdes José-Alcaide, Noelia García-Aracil, Rocío Juliá-Sanchis, Silvia Escribano
Publikováno v:
BMC Medical Education, Vol 24, Iss 1, Pp 1-13 (2024)
Abstract Background Multiple trauma injuries are the leading cause of death and disability in people under the age of 45 and require prompt and specialised care. However, medical and nursing education programmes do not always include specific trainin
Externí odkaz:
https://doaj.org/article/52583f19f8514715bcc997f23d88ceb6
Autor:
M.C. Ruiz-Aracil, J.M. Valverde, A. Beltrà, J.M. Lorente-Mento, A. Carrión-Antolí, D. Valero, F. Guillén
Publikováno v:
Current Plant Biology, Vol 40, Iss , Pp 100388- (2024)
Sweet cherry producers annually confront climatic challenges such as spring frost and fruit cracking. This vulnerability arises primarily from spring frost during bloom or cracking at critical maturity stages during persistent rainfall. With changing
Externí odkaz:
https://doaj.org/article/95c8b87bfab04530a1c9b1e4fe165573
Autor:
J. Fernández Vidal, I. Aracil Bolaños, C. García Sánchez, A. Campolongo Perillo, M. Curell, J. Kulisevsky, B. Pascual Sedano
Publikováno v:
Neurology Perspectives, Vol 4, Iss , Pp 150- (2024)
Externí odkaz:
https://doaj.org/article/a94b1a38fa8d43089849d1f551d9a3c4
Autor:
Pérez-Aracil, Jorge, Camacho-Gómez, Carlos, Lorente-Ramos, Eugenio, Marina, Cosmin M., Salcedo-Sanz, Sancho
In this paper we propose new probabilistic and dynamic (adaptive) strategies to create multi-method ensembles based on the Coral Reefs Optimization with Substrate Layers (CRO-SL) algorithm. The CRO-SL is an evolutionary-based ensemble approach, able
Externí odkaz:
http://arxiv.org/abs/2212.00742
Autor:
Fister, Dušan, Pérez-Aracil, Jorge, Peláez-Rodríguez, César, Del Ser, Javier, Salcedo-Sanz, Sancho
In this paper three customised Artificial Intelligence (AI) frameworks, considering Deep Learning (convolutional neural networks), Machine Learning algorithms and data reduction techniques are proposed, for a problem of long-term summer air temperatu
Externí odkaz:
http://arxiv.org/abs/2209.15424
Autor:
Í. Ruiz Barrio, A. Horta Barba, A. Puig Davi, I. Aracil Bolaños, S. Martínez Horta, J. Kulisevsky, J. Pagonabarraga
Publikováno v:
Neurology Perspectives, Vol 4, Iss , Pp 149-150 (2024)
Externí odkaz:
https://doaj.org/article/1802174689e94bfcbfcf3f6bb315a241