Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Antonio Pou"'
Autor:
Antonio Pou
Publikováno v:
Cuadernos de Investigación Geográfica, Vol 11, Iss 0, Pp 161-170 (2013)
Transformation of detailed cartographic or aerial photographic information into superficial flow descriptions (as exemplified by an idealized surface water flow) is undertaken using a new method. This offers a new approach to vegetation-landscape rel
Externí odkaz:
https://doaj.org/article/f75d5434f4cb4cfc88578176500ed64a
Autor:
Antonio Pou Royo
Publikováno v:
Arbor: Ciencia, Pensamiento y Cultura, Vol 172, Iss 677, Pp 127-134 (2002)
Durante los viajes que James Lovelock realizó por todo el mundo, rastreando el DDT y otros componentes traza con su invento del detector de captura de electrones, le llamó la atención la interconectividad química de toda la atmósfera con los ser
Externí odkaz:
https://doaj.org/article/0cd916cc29234f6cb4dfb61ca2f24a0b
Autor:
Julio J. Valdes, Antonio Pou
Large stocks of meteorological satellite images contain important climatic information of the last decades. This paper explores the capabilities of three Explainable AI procedures (Occlusion, XRAI and SHAP) as tools to analyze and uncover patterns in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ca8cbfdeae3a67fb216543a47252b416
https://nrc-publications.canada.ca/eng/view/object/?id=f8db6bc2-d9c9-4b34-be3f-586b6d331b71
https://nrc-publications.canada.ca/eng/view/object/?id=f8db6bc2-d9c9-4b34-be3f-586b6d331b71
Autor:
Julio J. Valdes, Antonio Pou
Water vapor in the atmosphere plays a crucial role in the energy balance and weather, being responsible for half of the greenhouse effect. Meteorological satellites detect the water vapor and represent it on images, providing important information to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c23268d1d75a11b49837f9fc3f56ed4
https://doi.org/10.1109/ssci50451.2021.9660188
https://doi.org/10.1109/ssci50451.2021.9660188
Publikováno v:
Proceedings of the Future Technologies Conference (FTC) 2021, Volume 1 ISBN: 9783030899059
This paper presents a novel approach for the analysis of time series, using Process Mining conformance checking measures as features describing the series’ models, in conjunction with machine learning techniques. The presented approach aims at iden
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99780e4c570b23684726035f435add2f
https://doi.org/10.1007/978-3-030-89906-6_42
https://doi.org/10.1007/978-3-030-89906-6_42
Publikováno v:
Proceedings of the Future Technologies Conference (FTC) 2021, Volume 1 ISBN: 9783030899059
Proceedings of the Future Technologies Conference (FTC) 2021, Volume 1
Proceedings of the Future Technologies Conference (FTC) 2021, Volume 1
Process Mining (PM) approaches for the analysis of time series bring interesting new perspectives because of the structural and behavioral information that could be extracted when the series are represented as event logs. This paper presents a Proces
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e13c9d300f7099c9a0233e370165482f
https://doi.org/10.1007/978-3-030-89906-6_53
https://doi.org/10.1007/978-3-030-89906-6_53
Autor:
Julio J. Valdés, Antonio Pou
Publikováno v:
IJCNN
Meteorological satellites are crucial for understanding and forecasting the flow dynamics of the General Atmospheric Circulation System. They produce large amounts of image information whose analysis and interpretation poses numerous challenges. A co
Publikováno v:
International Journal of Biometeorology. 39:22-28
Possible interactions between climatic changes and vegetation during the present century in western Spain have been examined using a phytoclimatic model. Statistical analysis of meteorological data for the period 1901–1989 suggests a tendency towar
Autor:
Julio J. Valdés, Antonio Pou
Publikováno v:
IJCNN
Two Computational Intelligence techniques, neural networks-based Multivariate Time Series Model Mining (MVTSMM) and Genetic Programming (GP), have been used to explore the possible relationship between solar activity and temperatures in Central Engla
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19252e92b734858d687e8c736fa16f6e
https://doi.org/10.1109/ijcnn.2010.5596455
https://doi.org/10.1109/ijcnn.2010.5596455
Autor:
Julio J. Valdés, Antonio Pou
Publikováno v:
IJCNN
Two blocks (1904–1921 and 1990–2007) of daily maximum temperature data from seventeen Spanish meteorological stations exhibit a multimodal Empirical Distribution Function (EDF). Most of the stations show important differences in their EDF for eac