Enrique Baena Peña (coord.), Visiones literarias y lingüísticas del paisaje urbano.

Autor: Anabel Gómez Carmona

Publikováno v: Actio Nova, Iss 4, Pp 608-611 (2020)

Esta reseña analiza todos los puntos importantes de los estudios recogidos en Visiones literarias y lingüísticas del paisaje urbano por Enrique Baena Peña, sobre los conceptos de paisaje y ciudad como elementos de vital importancia para el desarr

Externí odkaz: https://doaj.org/article/77b8b2db2e6c4c4bb4379f61f0784b10

The magmatic–hydrothermal evolution of the San Pedro porphyry Cu-(Mo) deposit:Implications for the metallogenesis of the Permian magmatism in the western margin of Gondwana

Autor: Thomas Ulrich, Anabel Gómez, Nora Alicia Rubinstein

Publikováno v: Gómez, A L R, Ulrich, T & Rubinstein, N A 2021, ' The magmatic–hydrothermal evolution of the San Pedro porphyry Cu-(Mo) deposit : Implications for the metallogenesis of the Permian magmatism in the western margin of Gondwana ', Resource Geology, vol. 71, no. 2, pp. 93-104 . https://doi.org/10.1111/rge.12251
Ulrich, T 2021, ' The magmatic–hydrothermal evolution of the San Pedro porphyry Cu-(Mo) deposit: Implications for the metallogenesis of the Permian magmatism in the western margin of Gondwana. ', Resource Geology, pp. 1-12 . https://doi.org/https:// doi.org/10.1111/rge.12251

The San Pedro porphyry Cu-(Mo) deposit, located in the San Rafael Massif (Argentina), is characterized by multiple stockwork vein generations developed in a subvolcanic intrusion with porphyry-type alteration and mineralization, as well as associated

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f69a7f182a912cae39ab6e8c2209c462
https://pure.au.dk/portal/da/publications/the-magmatichydrothermal-evolution-of-the-san-pedro-porphyry-cumo-deposit(c913bb39-6efb-4cb3-84b9-0e37bb2b55f4).html

Porphyry CU deposits in the Central Andes of Argentina: An overview

Autor: Nora Alicia Rubinstein, Eduardo O. Zappettini, Anabel Gómez

Publikováno v: Journal of South American Earth Sciences. 112:103543

Porphyry Cu deposits are the world's most important source of Cu and the Central Andes of South America hold some of the largest Cu resources worldwide. In Argentina many porphyry-type deposits and prospects with different degrees of exploration stra

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4d86c12a6f06a0711ba99c76aaaab31e
https://doi.org/10.1016/j.jsames.2021.103543

Redes Neuronales Convolucionales para Una Clasificacion Precisa de Imagenes de Corales

Autor: Anabel Gómez-Rıos, Siham Tabik, Julian Luengo, Francisco Herrera, ASM Shihavuddin, Bartosz Krawczyk

Publikováno v: Gómez-Rıos, A, Tabik, S, Luengo, J, Herrera, F, Shihavuddin, ASM & Krawczyk, B 2019, Redes Neuronales Convolucionales para Una Clasificacion Precisa de Imagenes de Corales . in XVIII Conferencia de la Asociacion Espanola para la Inteligencia Artificial . pp. 1171-1176, XVIII Conferencia de la Asociación Española para la Inteligencia Artificial, Granada, Spain, 23/10/2018 .
Technical University of Denmark Orbit

El reconocimiento de especies de corales basado en imágenes submarinas de texturas plantea una gran dificultad para los algoritmos de aprendizaje automático, debido a la naturaleza de los datos y las caracterısticas que tienen. Entre otras, encont

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c4de55375f8ba6958c713f88c69c0a35
https://orbit.dtu.dk/en/publications/a42b8c1c-22f5-4a54-a4eb-cd59b11719b8

Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks

Autor: Francisco Herrera, Asm Shihavuddin, Anabel Gómez-Ríos, Siham Tabik, Julián Luengo

Publikováno v: Gómez-Ríos, A, Tabik, S, Luengo, J, Shihavuddin, A S M & Herrera, F 2019, ' Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks ', Knowledge-Based Systems, vol. 184, 104891 . https://doi.org/10.1016/j.knosys.2019.104891

Corals are crucial animals as they support a large part of marine life. The automatic classification of corals species based on underwater images is important as it can help experts to track and detect threatened and vulnerable coral species. However

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1e479a32e761fa3582d34eb07790f32b
https://doi.org/10.1016/j.knosys.2019.104891