Listar por autor "Antequera-Gómez, María Luisa"
Mostrando ítems 1-4 de 4
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A deep learning LSTM-based approach for forecasting annual pollen curves: Olea and Urticaceae pollen types as a case study
Picornell Rodríguez, Antonio; Hurtado-Requena, Sandro José
; Antequera-Gómez, María Luisa; Barba-González, Cristóbal; Ruiz-Mata, Rocío; De Gálvez-Montañez, Enrique; Recio-Criado, María Marta; Trigo-Pérez, María del Mar; Aldana-Montes, José Francisco; Navas-Delgado, Ismael[et al.] (Elsevier, 2023-11-16)
Airborne pollen can trigger allergic rhinitis and other respiratory diseases in the synthesised population, which makes it one of the most relevant biological contaminants. Therefore, implementing accurate forecast systems ... -
Addressing significant challenges for animal detection in camera trap images: a novel deep learning-based approach.
Mulero-Pázmány, Margarita Cristina; Hurtado-Requena, Sandro José; Barba-González, Cristóbal; Antequera-Gómez, María Luisa; Díaz-Ruiz, Francisco; Real-Giménez, Raimundo; Navas-Delgado, Ismael; Aldana-Montes, José Francisco[et al.] (Springer-Nature, 2025-05-09)
Wildlife biologists increasingly use camera traps for monitoring animal populations. However, manually sifting through the collected images is expensive and time-consuming. Current deep learning studies for camera trap ... -
Artificial intelligence for automatically detecting animals in camera trap images: a combination of MegaDetector and YOLOv5
Mulero-Pázmány, Margarita Cristina; Hurtado, Sandro; Cardas Ezeiza, Cristian; Antequera-Gómez, María Luisa; Barba-González, Cristóbal; Romero-Pacheco, David; Díaz-Ruiz, Francisco; Navas-Delgado, Ismael; Real-Giménez, Raimundo[et al.] (2023)
Camera traps have gained high popularity for collecting animal images in a cost-effective and non-invasive manner, but manually examining these large volumes of images to extract valuable data is a laborious and costly ... -
E-Science workflow: A semantic approach for airborne pollen prediction
Hurtado-Requena, Sandro José; Antequera-Gómez, María Luisa; Barba-González, Cristóbal; Picornell Rodríguez, Antonio; Navas-Delgado, Ismael (Elsevier, 2024-01)
Allergic rhinitis has become a global health problem in recent decades because airborne pollen is a primary trigger of this respiratory disorder. Moreover, pollinosis can exacerbate the symptoms of asthma and favour ...