Results 21 to 30 of about 871 (178)

Aprendizaje Profundo Frente a Reglas Estáticas

Synergía
La evolución de las ciberamenazas hacia vectores polimórficos y estocásticos ha precipitado la obsolescencia técnica de los modelos de seguridad deterministas basados en firmas y reglas estáticas. Esta investigación de revisión bibliográfica analiza el cambio de paradigma desde la detección reactiva hacia la defensa cognitiva, con el objetivo de ...
Juan Castillo Serracín, Javier Gómez
openaire   +1 more source

Manipulación móvil mediante aprendizaje reforzado profundo

, 2021
Memoria para optar al título de Ingeniero Civil Eléctrico ; En los últimos años se ha observado un aumento en el interés de parte de la industria en el desarrollo de plataformas móviles de manipulación, con aplicaciones que van desde el manejo de inventarios de bodegas, robótica de servicio, robots rescatistas, entre otras.
openaire   +1 more source

Emerging applications of large language models in ecology and conservation science

Conservation Biology, EarlyView.
Abstract Large language models (LLMs) mark a major development in artificial intelligence, with potentially transformative implications for ecology and conservation science. Built on advanced deep‐learning architectures, these models can support a wide range of tasks. We reviewed emerging applications of LLMs, drawing on the wider scientific literature
Christos Mammides, Hao Gu, Thilina S. Nimalrathna, Naufal Rahman Avicena, Harris Papadopoulos, Ahimsa Campos‐Arceiz   +5 more
wiley   +1 more source

Detección de anomalías en minería de datos: un enfoque de aprendizaje profundo

Serie Científica de la Universidad de las Ciencias Informáticas
La detección de anomalías es crucial en el ámbito de la ciberseguridad, especialmente ante la creciente sofisticación de los ciberataques. Este artículo explora las técnicas basadas en aprendizaje profundo, que han ganado notoriedad por su capacidad ...
Adiane Cueto Portuondo, Mónica Delgado Hernández, Heidy Rodríguez Malvarez, Mónica Peña Casanova   +3 more
doaj   +4 more sources

Observer coverage and interaction rates determine the choice between design‐based and machine learning bycatch estimators for rare species

Conservation Biology, EarlyView.
Abstract Robust estimates of the magnitude of protected species bycatch are essential for effective fisheries management and marine conservation. Existing bycatch estimation methods typically struggle to accurately and precisely estimate the bycatch of rare species as a result of the statistical assumptions necessary to overcome infrequent encounters ...
Christopher Long, Robert Ahrens, T. Todd Jones, Zachary Siders   +3 more
wiley   +1 more source

RAPID: Real‐time animal pattern re‐identification on edge devices, an open‐source tool for field deployment

Methods in Ecology and Evolution, Volume 17, Issue 8, Page 2379-2394, August 2026.
Abstract Automatic re‐identification of animals has significant potential to address pressing ecological and conservation challenges through improved population monitoring, individual health assessment and detailed behavioural analyses. Although numerous computer‐vision‐based solutions have been proposed and many achieve high accuracy, most remain ...
András Zábó, Robinson Chaquinga, Jaime Palacios Pérez, Daniel Rubenstein, Máté Nagy, Aamir Ahmad   +5 more
wiley   +1 more source

Structured machine learning modeling to support conservation of deep‐sea benthic biodiversity

Conservation Biology, Volume 40, Issue 4, August 2026.
Abstract Biodiversity monitoring programs need to deliver accurate, timely, and actionable predictions. To establish a predictive monitoring program for deep‐sea benthos of the Santos Basin, Brazil, we developed a two‐stage structured model that allowed comparison of biodiversity predictions obtained from environmental simulations (2M‐Sim).
Gustavo Fonseca, Danilo C. Vieira, Juliane C. Carneiro, Renato S. Carreira, Milena Ceccopieri, Thais N. Corbisier, Adriana Galindo Dalto, Alberto G. Figueiredo Jr., Fabiane Gallucci, Paula Gheller, Simone Brito de Jesus, Helena Passeri Lavrado, Letícia Lazzari, Eduardo Hilzendeger Marcon, Daniel Leite Moreira, Rafael Bendayan de Moura, Ellen Pape, Ana Cláudia Aoki Santarosa, João Regis dos Santos Filho, Silvia Helena de Mello e Sousa, Thaisa Marques Vicente, Luciana Erika Yaginuma, Cinthia Yamashita, Wandrey Watanabe   +23 more
wiley   +1 more source

Detecting Opioid Misuse on Social Media via Named Entity Recognition (NER) With Deep Learning

Expert Systems, Volume 43, Issue 8, August 2026.
ABSTRACT The opioid overdose epidemic constitutes a critical public health crisis, necessitating advanced surveillance tools to enable timely intervention. Social media platforms provide a real‐time source of information on drug‐related behaviours. However, extracting structured knowledge from their informal, slang‐heavy and fragmented text presents ...
Muhammad Ahmad, Rita Orji, Fida Ullah, Ildar Batyrshin, Grigori Sidorov   +4 more
wiley   +1 more source

Influencia del conocimiento profundo del profesor sobre fracciones en el aprendizaje de alumnos de 4o. grado

Revista Electrónica de Investigación Educativa, 2020
El objetivo de este estudio es establecer en qué medida el conocimiento profundo del profesor sobre fracciones y el conocimiento sobre la enseñanza de las mismas, ajustados por el nivel socioeconómico y el nivel de conocimientos en matemáticas que se ...
Palmenia de la Cruz Rodríguez Rojas, Carlos Arturo Navarrete Rojas   +1 more
doaj   +1 more source

“Humanizar”: aprendizajes sobre alteridad, salud y futuro en una experiencia de investigación compartida

The Journal of Latin American and Caribbean Anthropology, Volume 31, Issue 2, June 2026.
ABSTRACT The visit to Bogotá of a fééeneminaa (Muinane) friend, Célimo Nejedeka Jifichíu, and in particular, his work in researching and transmitting traditional health knowledge, offer the pretext to navigate the relationship between elements that at first glance seem distant from each other: indigenous imaginaries about otherness, their visions of ...
Giovanna Micarelli
wiley   +1 more source