Zobrazeno 1 - 10
of 632
pro vyhledávání: '"Sancho Salcedo Sanz"'
Publikováno v:
IEEE Access, Vol 12, Pp 72530-72543 (2024)
Atmospheric visibility and cloud ceiling forecasts are essential for the safety and efficiency of flight operations and the aviation industry. Routine hourly aviation meteorological observations are recorded at every airport. However, forecasts of th
Externí odkaz:
https://doaj.org/article/2a1c239623e94eabae5be1164bfca3eb
Autor:
Lionel P. Joseph, Ravinesh C. Deo, David Casillas-Perez, Ramendra Prasad, Nawin Raj, Sancho Salcedo-Sanz
Publikováno v:
IEEE Access, Vol 12, Pp 58750-58777 (2024)
Wind, being a clean and sustainable resource, boasts environmental advantages. However, its electricity generation faces challenges due to unpredictable variations in wind speed (WS). Accurate predictions of these variations would allow mixed grids t
Externí odkaz:
https://doaj.org/article/8c32f944f5c749a08ec15209e19e009b
Autor:
César Peláez-Rodríguez, Álvaro Magdaleno, José María García Terán, Jorge Pérez-Aracil, Sancho Salcedo-Sanz, Antolín Lorenzana
Publikováno v:
Heliyon, Vol 10, Iss 12, Pp e32858- (2024)
Human-induced force analysis plays an important role across a wide range of disciplines, including biomechanics, sport engineering, health monitoring or structural engineering. Specifically, this paper focuses on the replication of ground reaction fo
Externí odkaz:
https://doaj.org/article/c117cac2f5b44e82a5367c6c327e9986
Autor:
García Herrera, Ricardo, Camacho-Gómez, Carlos, Alexandre, Enrique, Carro-Calvo, Leopoldo, Jaume-Santero, Fernando
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
Trabajo presentado en el EMS Annual Meeting: European Conference for Applied Meteorology and Climatology, celebrado en Budapest (Hungría), del 3 al 7 de 2018
The assessment of past climate relies on natural and documentary proxies. These may be
The assessment of past climate relies on natural and documentary proxies. These may be
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::38afb99a9cb5450726757b8fe85799e7
http://hdl.handle.net/10261/187912
http://hdl.handle.net/10261/187912
Publikováno v:
Sensors, Vol 24, Iss 10, p 2993 (2024)
In trainable wireless communications systems, the use of deep learning for over-the-air training aims to address the discontinuity in backpropagation learning caused by the channel environment. The primary methods supporting this learning procedure e
Externí odkaz:
https://doaj.org/article/89adc25e713e4787916766f289595179
Autor:
Sujan Ghimire, Thong Nguyen-Huy, Mohanad S. AL-Musaylh, Ravinesh C. Deo, David Casillas-Pérez, Sancho Salcedo-Sanz
Publikováno v:
Energy and AI, Vol 14, Iss , Pp 100302- (2023)
This paper develops a trustworthy deep learning model that considers electricity demand (G) and local climate conditions. The model utilises Multi-Head Self-Attention Transformer (TNET) to capture critical information from G, to attain reliable predi
Externí odkaz:
https://doaj.org/article/566f7cf083d94a8f914114d375c1b8c2
Autor:
Sagthitharan Karalasingham, Ravinesh C. Deo, David Casillas-Perez, Nawin Raj, Sancho Salcedo-Sanz
Publikováno v:
IEEE Access, Vol 11, Pp 5558-5577 (2023)
For bifacial solar photovoltaic panels, surface albedo plays a crucial role in estimating the radiant energy. Since land surfaces are heterogeneous, the actual albedo of the surface where the solar photovoltaic panel is placed can vary widely and its
Externí odkaz:
https://doaj.org/article/d54d837f645341d8849b9cf404fe960f
Publikováno v:
Sensors, Vol 23, Iss 24, p 9848 (2023)
Wireless communications systems are traditionally designed by independently optimising signal processing functions based on a mathematical model. Deep learning-enabled communications have demonstrated end-to-end design by jointly optimising all compo
Externí odkaz:
https://doaj.org/article/0d70dbe6633a4fc9a45184fd8ec16c54
Publikováno v:
IEEE Access, Vol 10, Pp 119814-119825 (2022)
Deep Learning methods have produced good carrier frequency offset estimations for short message sequences in comparison with methods based on the Fast Fourier Transform. However, these performance gains were observed for short ranges of frequency off
Externí odkaz:
https://doaj.org/article/5f15200cc4ec41f9a06bf6b3ebcdd369
Autor:
David Casillas-Perez, Daniel Merino-Perez, Silvia Jimenez-Fernandez, Jose A. Portilla-Figueras, Sancho Salcedo-Sanz
Publikováno v:
IEEE Access, Vol 10, Pp 75219-75233 (2022)
This paper proposes a robust non-linear generalized path-loss propagation model, the Extended Weighted ABG (EWABG), which efficiently allows generating a path-loss propagation model by combining several available path-loss datasets (from measurements
Externí odkaz:
https://doaj.org/article/663701dcd6754b88ac773b95d2f80521