Results 41 to 50 of about 808,146 (120)

Minería de datos para el modelado de aprendizaje automático en la resistencia de materiales por la inclusión de fibras naturales. Caso de estudio: Influencia de la inclusión de fibra de abacá en la resistencia a la compresión de limos arenosos, Laboratorio de, Mecánica de Suelos, Pavimentos y Geotécnica de la Pontificia Universidad Católica del Ecuador

, 2022
El propósito del proyecto es buscar modelos de aprendizaje automático que permitan predecir la influencia de fibras naturales de abacá en la resistencia a la compresión de limos arenosos.
Escobar Terán, Charles Edisson
core   +1 more source

Machine Learning Model for an App‐Based Tool to Assist With the Diagnosis of Canine Atopic Dermatitis

Veterinary Dermatology, Volume 37, Issue 2, Page 236-246, April 2026.
Canine atopic dermatitis (cAD) is a chronic condition requiring life‐long management. Accurate diagnosis can be challenging, with no reliable diagnostic test. This study aimed to generate a simple diagnostic model for cAD. This model is a relevant prototype for an app‐based tool to support general practitioners in the diagnosis of cAD alongside ...
Xavier Langon, Mathieu Montoya, Isabelle Gourdon   +2 more
wiley   +1 more source

Métodos de aprendizaje automático y aplicaciones [PDF]

, 2022
Este trabajo pretende profundizar en el aprendizaje automático y las redes neuronales artificiales. Para ello, se ha llevado a cabo la implementación del algoritmo de propagación hacia atrás en un perceptrón monocapa para puertas lógicas con dos ...
Arán Godés, Paula, López Ruiz, Ricardo   +1 more
core  

Isolated German Sign Language Recognition for Classifying Polar Answers Using Landmarks and Lightweight Transformers

Applied Sciences
Sign Languages are the primary communication modality of deaf communities, yet building effective Isolated Sign Language Recognition (ISLR) systems remains difficult under data limitations.
Cristina Luna-Jiménez, Lennart Eing, Sergio Esteban-Romero, Manuel Gil-Martín, Elisabeth André   +4 more
doaj   +1 more source

Key drivers of at‐vessel mortality in demersal sharks

Conservation Biology, Volume 40, Issue 1, February 2026.
Abstract Chondrichthyans are highly vulnerable to fisheries overexploitation, and postcapture mortality poses a significant threat to most species. Global bycatch mitigation guidelines recommend adopting hierarchical decision‐making approaches tailored to species‐specific vulnerabilities and socioeconomic and regulatory contexts.
David Ruiz‐García, Claudio Barría, Juan A. Raga, David March   +3 more
wiley   +1 more source

Desarrollo de competencias: inteligencia artificial y aprendizaje automático en prácticas supervisadas de estudiantes en computación

Uniciencia
[Objetivo] El objetivo de esta investigación se centra en el desarrollo de competencias en inteligencia artificial y aprendizaje automático para el estudiantado que desee experimentar en la creación de modelos de aprendizaje automático.
Johnny Villalobos-Murillo, Gabriela Garita-González, Byron Jesús Alfaro Ramírez   +2 more
doaj   +1 more source

CMiNet: An R package and user‐friendly Shiny App for constructing consensus microbiome networks

Methods in Ecology and Evolution, Volume 17, Issue 1, Page 52-66, January 2026.
Abstract Microbial networks offer critical insights into community structure, ecological interactions and host–microbe dynamics. However, constructing reliable microbiome networks remains challenging due to variability among existing inference methods, limited overlap between inferred networks and the absence of a gold standard (a universally accepted ...
Rosa Aghdam, Claudia Solís‐Lemus
wiley   +1 more source

Dual Leap Motion Controller 2: A Robust Dataset for Multi-view Hand Pose Recognition

Scientific Data
This paper presents Multi-view Leap2 Hand Pose Dataset (ML2HP Dataset), a new dataset for hand pose recognition, captured using a multi-view recording setup with two Leap Motion Controller 2 devices. This dataset encompasses a diverse range of hand poses,
Manuel Gil-Martín, Marco Raoul Marini, Rubén San-Segundo, Luigi Cinque   +3 more
doaj   +1 more source

Passive acoustic monitoring paired with machine learning outperforms playback surveys for a rare and cryptic species, the Black‐billed Cuckoo (Coccyzus erythropthalmus)

Conservation Science and Practice, Volume 7, Issue 12, December 2025.
Compared to playback surveys, passive acoustic monitoring provides increased detection probability and lower costs for monitoring a rare and cryptic avian species. Abstract Monitoring rare and cryptic species presents unique challenges and is of high importance for conservation practitioners.
Anna M. Kurtin, Erim Gómez, Nicole Hussey, Anna Noson, Megan O'Reilly, Tessa Rhinehart, Brandi Skone, Bella Wengappuly, Andy J. Boyce   +8 more
wiley   +1 more source

Using accelerometer‐based behavioural classification to enhance scavenger conservation

Journal of Applied Ecology, Volume 62, Issue 11, Page 2987-3004, November 2025.
We provide a tool to help identify vulture feeding hotspots, supporting carcass management efforts to prevent poisoning. Integrated with near real‐time tracking, our model can support global efforts to combat scavenger poisoning. The training dataset, model and codes are provided in a user‐friendly platform, along with a conceptual framework, to ...
Gideon Vaadia, Marta Acácio, Tal Agassi, Nili Anglister, Yigal Miller, Ohad Hatzofe, Patricia Mateo‐Tomás, Jorge Rodríguez‐Pérez, María Fernández‐García, Pedro P. Olea, Ignacio Otero, Noa Pinter‐Wollman, Moni Shahar, Orr Spiegel   +13 more
wiley   +1 more source