Results 21 to 30 of about 507,188 (259)

WGANVO: odometría visual monocular basada en redes adversarias generativas

Revista Iberoamericana de Automática e Informática Industrial RIAI, 2021
Los sistemas tradicionales de odometría visual (VO), directos o basados en características visuales, son susceptibles de cometer errores de correspondencia entre imágenes.
Javier Alejandro Cremona, Lucas Uzal, Taihú Pire   +2 more
doaj   +1 more source

Promoting reflective practice in an infant and early childhood training program

Infant Mental Health Journal: Infancy and Early Childhood, Volume 44, Issue 4, Page 451-465, July 2023., 2023
Abstract Reflective practices provide a supportive base through which preservice infant and early childhood teachers and allied professionals can achieve knowledge, skills, and professional dispositions to support young children and their families. This paper is a program description that describes the rationale for infusing reflective practices into ...
Caitlin Lombardi, Anne Bladen, Mary Tabb Foley, Meg Galante‐DeAngelis, Kim Larrabee, JoAnn Robinson   +5 more
wiley   +1 more source

Enfoques y estilos de aprendizaje en estudiantes de psicología de una universidad pública en México

Revista Virtual Universidad Católica del Norte, 2022
Con el objetivo de examinar los estilos y enfoques de aprendizaje, se aplicaron dos cuestionarios (CHAEA y R-SPQ-2F) a estudiantes de psicología (N = 221) de tres semestres diferentes.
Rigoberto Rigoberto León-Sánchez, Kirareset Barrera-García   +1 more
doaj   +1 more source

Modeling genetic benefits and financial costs of integrating biobanking into the conservation breeding of managed marsupials

Conservation Biology, Volume 37, Issue 2, April 2023., 2023
Abstract Managed breeding programs are an important tool in marsupial conservation efforts but may be costly and have adverse genetic effects in unavoidably small captive colonies. Biobanking and assisted reproductive technologies (ARTs) could help overcome these challenges, but further demonstration of their potential is required to improve uptake. We
Lachlan G. Howell, Peter R. Mawson, Pierre Comizzoli, Ryan R. Witt, Richard Frankham, Simon Clulow, Justine K. O'Brien, John Clulow, Paul Marinari, John C. Rodger   +9 more
wiley   +1 more source

Using deep convolutional neural networks to forecast spatial patterns of Amazonian deforestation

Methods in Ecology and Evolution, Volume 13, Issue 11, Page 2622-2634, November 2022., 2022
Abstract Tropical forests are subject to diverse deforestation pressures while their conservation is essential to achieve global climate goals. Predicting the location of deforestation is challenging due to the complexity of the natural and human systems involved but accurate and timely forecasts could enable effective planning and on‐the‐ground ...
James G. C. Ball, Katerina Petrova, David A. Coomes, Seth Flaxman   +3 more
wiley   +1 more source

A fuzzy database engine for mongoDB

International Journal of Intelligent Systems, Volume 37, Issue 9, Page 5691-5724, September 2022., 2022
Abstract Big Data are a paradigm through which valuable information is achieved through the analysis of a large amount of data. The sources of these data can be varied, from data streams that will be processed in real time, to the exploitation of transactional data stored in databases.
Juan Miguel Medina, Ignacio J. Blanco, Olga Pons   +2 more
wiley   +1 more source

Evaluación del aprendizaje profundo metacognitivo y autodeterminado en estudiantes universitarios (Metacognitive and self-determined deep learning assessment in university students)

Retos, 2023
Se presenta un estudio cuyo objetivo es evaluar el nivel de aprendizaje profundo metacognitivo y autodeterminado en relación con el rendimiento académico, de los alumnos de 1º de Grado de Ciencias de la Actividad Física y del Deporte, en la asignatura de
Natalia María Simón Medina, Sagrario Del Valle Díaz, Natalia Rioja Collado, Jon Cuadrado Borobia   +3 more
semanticscholar   +1 more source

A deep Generative Artificial Intelligence system to predict species coexistence patterns

Methods in Ecology and Evolution, Volume 13, Issue 5, Page 1052-1061, May 2022., 2022
Abstract Predicting coexistence patterns is a current challenge to understand diversity maintenance, especially in rich communities where these patterns' complexity is magnified through indirect interactions that prevent their approximation with classical experimental approaches.
Johannes Hirn, José Enrique García, Alicia Montesinos‐Navarro, Ricardo Sánchez‐Martín, Veronica Sanz, Miguel Verdú   +5 more
wiley   +1 more source

Leveraging social media and deep learning to detect rare megafauna in video surveys

Conservation Biology, Volume 36, Issue 1, February 2022., 2022
Abstract Deep learning has become a key tool for the automated monitoring of animal populations with video surveys. However, obtaining large numbers of images to train such models is a major challenge for rare and elusive species because field video surveys provide few sightings. We designed a method that takes advantage of videos accumulated on social
Laura Mannocci, Sébastien Villon, Marc Chaumont, Nacim Guellati, Nicolas Mouquet, Corina Iovan, Laurent Vigliola, David Mouillot   +7 more
wiley   +1 more source

El Aprendizaje Profundo como herramienta para cambio en la visión de aprendizaje de una cultura

Revista Educación las Américas, 2023
Resumen El enfoque de aprendizaje profundo forma parte de las llamadas nuevas pedagogías que plantean una concepción del aprendizaje que integra lo intrapersonal, interpersonal y cognitivo como dimensiones indispensables.
Lautaro Elias Quiroga, Eliseo Lara Ordenes   +1 more
semanticscholar   +1 more source