UniversidaddeCádiz

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Applications of machine learning and data science to the blue economy sustainable fishing and weather routing

Precioso Garcelán, Daniel (2023)
Effectiveness of non-pharmaceutical interventions in nine fields of activity to decrease SARS-CoV-2 transmission (Spain, September 2020–May 2021)

Barbeito, Inés; Precioso Garcelán, Daniel; Sierra Fernández, José María; Vegas Azcárate, Susana; Fernández Balbuena, Sonia; Vitoriano, Begoña; Gómez-Ullate Oteiza, David; Cao, Ricardo; Monge, Susana (Frontiers Media, 2023-04-12)
HADAD: Hexagonal A-Star with Differential Algorithm Designed for weather routing

Jiménez de la Jara, Javier; Precioso Garcelán, Daniel; Bu, Louis; Redondo Neble, María Victoria; Milson, Robert; Ballester-Ripoll, Rafael; Gómez-Ullate Oteiza, David (Elsevier Ltd, 2025)
Hybrid search method for Zermelo’s navigation problem

Precioso Garcelán, Daniel; Milson, Robert; Bu, Louis; Menchions, Yvonne; Gómez-Ullate Oteiza, David (Springer Nature, 2024)
NeoCam: An Edge-Cloud Platform for Non-Invasive Real-Time Monitoring in Neonatal Intensive Care Units

Ruiz Zafra, Ángel; Precioso Garcelán, Daniel; Salvador Domínguez, Blas; Lubián López, Simón Pedro; Jiménez de la Jara, Javier; Benavente Fernández, Isabel; Pigueiras del Real, Janet; Gómez-Ullate Oteiza, David; Cervera Gontard, Lionel (IEEE, 2023-02-01)
Thresholding methods in non-intrusive load monitoring

Precioso Garcelán, Daniel; Gómez-Ullate Oteiza, David (Springer, 2023-04)
TUN-AI: Tuna biomass estimation with Machine Learning models trained on oceanography and echosounder FAD data

Precioso Garcelán, Daniel; Navarro García, Manuel; Gavira O'Neill, Kathryn; Torres-Barrán, Alberto; Gordo, David; Gallego, Víctor; Gómez-Ullate Oteiza, David (Elsevier, 2022-02-17)