Zobrazeno 1 - 10
of 1 238
pro vyhledávání: '"Fernandes, João P."'
Autor:
Francisco, Grégoire, Ramunno, Francesco Pio, Georgoulis, Manolis K., Fernandes, João, Barata, Teresa, Del Moro, Dario
The solar magnetized corona is responsible for various manifestations with a space weather impact, such as flares, coronal mass ejections (CMEs) and, naturally, the solar wind. Modeling the corona's dynamics and evolution is therefore critical for im
Externí odkaz:
http://arxiv.org/abs/2410.20843
Solar flare forecasting mainly relies on photospheric magnetograms and associated physical features to predict forthcoming flares. However, it is believed that flare initiation mechanisms often originate in the chromosphere and the lower corona. In t
Externí odkaz:
http://arxiv.org/abs/2410.16116
Autor:
Moreira, Ana, Leifler, Ola, Betz, Stefanie, Brooks, Ian, Capilla, Rafael, Coroama, Vlad Constantin, Duboc, Leticia, Fernandes, Joao Paulo, Heldal, Rogardt, Lago, Patricia, Nguyen, Ngoc-Thanh, Oyedeji, Shola, Penzenstadler, Birgit, Peters, Anne Kathrin, Porras, Jari, Venters, Colin C.
Education for sustainable development has evolved to include more constructive approaches and a better understanding of what is needed to align education with the cultural, societal, and pedagogical changes required to avoid the risks posed by an uns
Externí odkaz:
http://arxiv.org/abs/2406.18945
The rapid adoption of Electric Vehicles (EVs) poses challenges for electricity grids to accommodate or mitigate peak demand. Vehicle-to-Vehicle Charging (V2VC) has been recently adopted by popular EVs, posing new opportunities and challenges to the m
Externí odkaz:
http://arxiv.org/abs/2404.08837
Autor:
da Silva, Felipe H. S., Fernandes, João B., Sardina, Idalmis M., Barros, Tiago, Xavier-de-Souza, Samuel, Assis, Italo A. S.
Because Full Waveform Inversion (FWI) works with a massive amount of data, its execution requires much time and computational resources, being restricted to large-scale computer systems such as supercomputers. Techniques such as FWI adapt well to par
Externí odkaz:
http://arxiv.org/abs/2402.16728
Publikováno v:
SoftwareX, Volume 27, 2024, 101789
Programs with high levels of complexity often face challenges in adjusting execution parameters, particularly when these parameters vary based on the execution context. These dynamic parameters significantly impact the program's performance, such as
Externí odkaz:
http://arxiv.org/abs/2401.07861
Autor:
Fernandes, João B., de Assis, Ítalo A. S., Martins, Idalmis M. S., Barros, Tiago, Xavier-de-Souza, Samuel
Supercomputers have revolutionized how industries and scientific fields process large amounts of data. These machines group hundreds or thousands of computing nodes working together to execute time-consuming programs that require a large amount of co
Externí odkaz:
http://arxiv.org/abs/2401.04494
This volume exhibits the revised lecture notes of the 2nd teacher training organized as part of the project Promoting Sustainability as a Fundamental Driver in Software Development Training and Education, held at the Juraj Dobrila University of Pula,
Externí odkaz:
http://arxiv.org/abs/2307.13156
These are the proceedings of the first teacher training of the Erasmus+ project No. 2020-1-PT01-KA203-078646 -- Sustrainable. The full title of this project is Promoting Sustainability as a Fundamental Driver in Software Development Training and Educ
Externí odkaz:
http://arxiv.org/abs/2204.13993
Autor:
Cardoso, Renato, Golubovic, Dejan, Lozada, Ignacio Peluaga, Rocha, Ricardo, Fernandes, João, Vallecorsa, Sofia
With the increasing number of Machine and Deep Learning applications in High Energy Physics, easy access to dedicated infrastructure represents a requirement for fast and efficient R&D. This work explores different types of cloud services to train a
Externí odkaz:
http://arxiv.org/abs/2111.04628