Dog invasions in protected areas: A case study using camera trapping, citizen science and artificial intelligence

Autor: Santiago Gutiérrez-Zapata, Simone Santoro, Manuel Emilio Gegundez-Arias, Nuria Selva, Javier Calzada

Publikováno v: Global Ecology and Conservation, Vol 54, Iss , Pp e03109- (2024)

Domestic dogs, Canis familiaris, wandering into natural habitats poses a grave threat to wildlife, increasing predation pressure and disease risk and disrupting the ecological balance within ecosystems. This study examines the presence of dogs in a E

Externí odkaz: https://doaj.org/article/3e9642916eae44d094ac3a2dd2ef3dac

A new deep learning method for blood vessel segmentation in retinal images based on convolutional kernels and modified U-Net model

Autor: Isaac Perez-Borrero, Manuel J. Vasallo-Vazquez, Manuel Emilio Gegúndez-Arias, Diego Marin-Santos

Publikováno v: Computer methods and programs in biomedicine. 205

Background and Objective: Automatic monitoring of retinal blood vessels proves very useful for the clinical assessment of ocular vascular anomalies or retinopathies. This paper presents an efficient and accurate deep learning-based method for vessel

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f0ed5ab3a5ef4fd45982ff670c48f30
https://pubmed.ncbi.nlm.nih.gov/33882418

A fast and accurate deep learning method for strawberry instance segmentation

Autor: Isaac Perez-Borrero, Manuel Emilio Gegúndez-Arias, Diego Marin-Santos, Estefanía Cortés-Ancos

Publikováno v: Computers and Electronics in Agriculture. 178:105736

Fruit instance segmentation is a key element for autonomous picking systems. This paper proposes a methodology for instance segmentation of strawberries using deep learning techniques. This methodology presents the following changes in relation to th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2b48c8d829f6f4506b2d5c523e7b9477
https://doi.org/10.1016/j.compag.2020.105736

A tool for automated diabetic retinopathy pre-screening based on retinal image computer analysis

Autor: Fatima Alvarez, Carlos Ortega, Manuel Jesús Vasallo, Diego Marin, Manuel Emilio Gegúndez-Arias, Javier Garrido, José Manuel Bravo, Beatriz Ponte

Publikováno v: Computers in biology and medicine. 88

AimThis paper presents a methodology and first results of an automatic detection system of first signs of Diabetic Retinopathy (DR) in fundus images, developed for the Health Ministry of the Andalusian Regional Government (Spain). Material and method

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7620312dfa83a3c98a97d688ed8af46
https://pubmed.ncbi.nlm.nih.gov/28711766

Planificación de la producción basada en control predictivo para plantas termosolares

Autor: José Manuel Bravo Caro, Manuel Jesús Vasallo Vázquez, Emilian Gelu Cojocaru, Manuel Emilio Gegúndez Arias

Publikováno v: Gegundez Arias, Manuel_E.
RUC. Repositorio da Universidade da Coruña
instname
RUC: Repositorio da Universidade da Coruña
Universidade da Coruña (UDC)
RUO. Repositorio Institucional de la Universidad de Oviedo

[Resumen] Se presenta una estrategia basada en control predictivo para resolver la planificación de la producción en plantas termosolares con almacenamiento térmico participando en el mercado diario de electricidad. Mediante esta estrategia, la pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c2f40d06c20b2335b66433fd2ac5774
https://hdl.handle.net/2183/25898