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Fatima Zahra Guerrouj, Sergio Rodríguez Flórez, Mohamed Abouzahir, Abdelhafid El Ouardi and Mustapha Ramzi
Convolutional Neural Networks (CNNs) have been incredibly effective for object detection tasks. YOLOv4 is a state-of-the-art object detection algorithm designed for embedded systems. It is based on YOLOv3 and has improved accuracy, speed, and robustness....
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Juan Fernando Flórez Marulanda, Cesar A. Collazos and Julio Ariel Hurtado
Previous research has explored different models of synchronous remote learning environments supported by videoconferencing and virtual reality platforms. However, few studies have evaluated the preference and acceptance of synchronous remote learning in ...
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Ruben Florez, Facundo Palomino-Quispe, Roger Jesus Coaquira-Castillo, Julio Cesar Herrera-Levano, Thuanne Paixão and Ana Beatriz Alvarez
Drowsiness detection is an important task in road safety and other areas that require sustained attention. In this article, an approach to detect drowsiness in drivers is presented, focusing on the eye region, since eye fatigue is one of the first sympto...
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Sabela Al-Soufi, Nuria Nicodemus, María Dolores Carro, Marta López-Alonso, Marta Miranda, Antonio Muíños, Eugenio Cegarra, Beatriz Vázquez-Belda, Herminia Domínguez, María Dolores Torres, Noelia Flórez-Fernández and Javier García
The limitation on the prophylactic use of antibiotics in animal feed in Europe has critically challenged the rabbit meat industry, which urgently needs to find solutions. A feasible alternative could be using macroalgae in the diet to improve the gut hea...
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Nelly Estella Pardo Espejo , Dilsa Yamile Rodríguez Ochoa, Luz Eliana Márquez Barrera, Dina Vanessa Flórez Valencia , Clara Mónica Orrego Montoya
Pág. 337 - 352
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Fabián García-Vázquez, Jesús R. Ponce-González, Héctor A. Guerrero-Osuna, Rocío Carrasco-Navarro, Luis F. Luque-Vega, Marcela E. Mata-Romero, Ma. del Rosario Martínez-Blanco, Celina Lizeth Castañeda-Miranda and Germán Díaz-Flórez
Agricultural greenhouses must accurately predict environmental factors to ensure optimal crop growth and energy management efficiency. However, the existing predictors have limitations when dealing with dynamic, non-linear, and massive temporal data. Thi...
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Jesús Plácido Medina Salas, Francisco Gamarra Gómez, Elisban Juani Sacari Sacari, Wilson Orlando Lanchipa Ramos, Rocío María Tamayo Calderón, Efracio Mamani Flores, Víctor Yapuchura Platero, Walter Dimas Florez Ponce de León and Elmer Marcial Limache Sandoval
Arsenic (III) exposure, often from contaminated water, can have severe health repercussions. Chronic exposure to this toxic compound is linked to increased risks of various health issues. Various technologies exist for arsenic (III) removal from contamin...
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Luis Antonio Gallo Jaramillo, Edwin Lenin Chica Arrieta, Elkin Gregorio Flórez Serrano
Pág. e18127
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Lucas Arango-Díaz, Maria Alejandra Garavito-Posada, Juan Sebastian Calle-Medina, Adriana Marcela Murcia-Cardona, Olga Lucia Montoya-Flórez, Sebastián Pinto-Quintero
Pág. 40 - 51
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David Choque-Quispe, Sandro Froehner, Henry Palomino-Rincón, Diego E. Peralta-Guevara, Gloria I. Barboza-Palomino, Aydeé Kari-Ferro, Lourdes Magaly Zamalloa-Puma, Antonieta Mojo-Quisani, Edward E. Barboza-Palomino, Miluska M. Zamalloa-Puma, Edgar L. Martínez-Huamán, Miriam Calla-Florez, Edgar G. Aronés-Medina, Aydeé M. Solano-Reynoso and Yudith Choque-Quispe
The water from the high Andean rivers is peculiar due to its composition and the geomorphology of its sources, and naturally or anthropogenically contamination is not discarded along its course. This water is used for agriculture and human consumption, t...
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