Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Rafael Nebot"'
Autor:
Juli Caujapé‐Castells, Carlos García‐Verdugo, Isabel Sanmartín, Javier Fuertes‐Aguilar, Maria M. Romeiras, Nieves Zurita‐Pérez, Rafael Nebot
Publikováno v:
Journal of Biogeography. 49:1469-1480
Aim: We explore the idea that most pre-glacial non-endemic Canarian flora became endemic to the archipelago by the extinction of its mainland populations during the late Pleistocene glaciations, implying that the extant non-endemic flora is mostly po
Autor:
Nick Martin, Laura Talens-Peiró, Gara Villalba-Méndez, Rafael Nebot-Medina, Cristina Madrid-López
Publikováno v:
Applied Energy. 331:120366
Altres ajuts: acords transformatius de la UAB Unidad de excelencia María de Maeztu CEX2019-000940-M Many of the long-term policy decisions surrounding the sustainable energy transition rely on models that fail to consider environmental impacts and c
Autor:
JULI CAUJAPÉ-CASTELLS, RAFAEL NEBOT, JOSÉ NARANJO-SUÁREZ, RUTH JAÉN MOLINA, MIGUEL ÁNGEL GONZÁLEZ PÉREZ, INMACULADA GUILLERMES VÁZQUEZ, ANTONIO DÍAZ PÉREZ, GUSTAVO VIERA RUIZ, NEREIDA CABRERA, ISILDO GÓMES, ÁNGELA BARRETO, JUAN FRANCISCO RODRÍGUEZ, JAVIER FUERTES-AGUILAR, CARLOS GARCÍA-VERDUGO, Isabel SANMARTÍN, NIEVES ZURITA PÉREZ, PAULA MORENO, DANIEL REYES, ALEJANDRO CURBELO, MARÍA ROMEIRAS, MARIA JESUS CORREIA, CARLOS CARABALLO
Publikováno v:
Digital.CSIC. Repositorio Institucional del CSIC
instname
instname
Project NEXTGENDEM (MAC2/4.6d/236, https://lupus.itccanarias.org/nextgendem/es/) complements multiple research disciplines to provide verified and validated scientific data that help managers make more informed conservation decisions. As a result of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a9b79a66cd9cc11b9a5311dcea863c86
http://hdl.handle.net/10261/265037
http://hdl.handle.net/10261/265037
We propose a model-to-model translation approach to operationalize the solving strategy for a problem in complexity: quantitatively addressing the water-energy-food nexus at different hierarchical levels (national, regional and sectoral). In the fram
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______3730::8b14a521fcebf2714d6025659d5d6f30
http://hdl.handle.net/11588/779794
http://hdl.handle.net/11588/779794
One Day-Ahead Prognosis of Energy Demand Using Artificial Intelligence and Biometeorological Indices
Nowadays demand side management has become an important issue. Managing the energy resources in an optimal manner has become imperative among energy planners and policy makers. An integrated energy management approach is essential for the sustainable
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::01930799d27b0c5f90f3728c2b12a790
https://zenodo.org/record/886264
https://zenodo.org/record/886264
Autor:
Cláudio Monteiro, Bruno Santos, Tiago Santos, Carina Soares, Pedro Fonte, Rafael Nebot-Medina, Gianmaria Sannino, Adriana Carillo
Publikováno v:
Smart and Sustainable Power Systems ISBN: 9781498712125
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b023d2bd9fbaa058cc656cf7da6db30a
https://doi.org/10.1201/b18605-3
https://doi.org/10.1201/b18605-3
Publikováno v:
The Insight Journal.
This paper describes the implementation of a multidimensional block-matching nonrigid registration algorithm. The main features of the algorithm are its simplicity, its free form nature, the modularity of the similarity measure, which makes it possib