Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Luis Miguel Lopez Ramos"'
Publikováno v:
2022 56th Asilomar Conference on Signals, Systems, and Computers.
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031105241
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b48c182483c37876c19817bd0355845c
https://doi.org/10.1007/978-3-031-10525-8_2
https://doi.org/10.1007/978-3-031-10525-8_2
Autor:
Luis Miguel Lopez-Ramos
Publikováno v:
Communications in Computer and Information Science ISBN: 9783031105241
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4c4c403c43e1b0d59f794425b59e0d2b
https://doi.org/10.1007/978-3-031-10525-8_13
https://doi.org/10.1007/978-3-031-10525-8_13
Autor:
Rodolfo Gordillo-Orquera, Luis Miguel Lopez-Ramos, Sergio Muñoz-Romero, Paz Iglesias-Casarrubios, Diego Arcos-Avilés, Antonio G. Marques, José Luis Rojo-Álvarez
Publikováno v:
Energies, Vol 11, Iss 3, p 493 (2018)
Healthcare buildings exhibit a different electrical load predictability depending on their size and nature. Large hospitals behave similarly to small cities, whereas primary care centers are expected to have different consumption dynamics. In this wo
Externí odkaz:
https://doaj.org/article/5d9ffe292f51468795b76feaf36e9a7f
Publikováno v:
IEEE Transactions on Signal Processing
Spectrum cartography constructs maps of metrics such as channel gain or received signal power across a geographic area of interest using spatially distributed sensor measurements. Applications of these maps include network planning, interference coor
Identifying dependencies among variables in a complex system is an important problem in network science. Structural equation models (SEM) have been used widely in many fields for topology inference, because they are tractable and incorporate exogenou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a98fda6f4170ba7459ac62bb08566ef9
http://arxiv.org/abs/2003.08145
http://arxiv.org/abs/2003.08145
Causality graphs are routinely estimated in social sciences, natural sciences, and engineering due to their capacity to efficiently represent the spatiotemporal structure of multivariate data sets in a format amenable for human interpretation, foreca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::443f5725405fbfe03153e18cc2a46d21
http://arxiv.org/abs/1904.01864
http://arxiv.org/abs/1904.01864