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Akademický článek
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Today, the existence of metadata is one of the most important keys for an effective discovery of geospatial data published in Spatial Data Infrastructures (SDI). However, due to lack of efficient mechanisms, integrated in user daily workflow, to assi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1500::ad915061b9141fb008d97466555d9fef
Autor:
Llussà Sala, Antoni
Publikováno v:
O2, repositorio institucional de la UOC
Universitat Oberta de Catalunya (UOC)
Universitat Oberta de Catalunya (UOC)
Nowadays, Internet of Things (IoT) devices can run machine learning (ML) models. Taking advantage of the computational power of these devices, the incorporation of a ML model to detect and predict anomalies in the data (time series) is intended. Data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8fc9dcb107429b36f27cfa006e9a279f
Autor:
Sánchez Pozo, Nadia Nathaly
Publikováno v:
O2, repositorio institucional de la UOC
Universitat Oberta de Catalunya (UOC)
Universitat Oberta de Catalunya (UOC)
Este trabajo presenta un análisis comparativo de modelos predictivos, aplicados a la estimación de calidad del aire. Actualmente, entre las inquietudes mundiales, se encuentra la preocupación por la contaminación del aire, por ello, en ciudades c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3f9a2c16f055efe325852f906830d8cc
Autor:
Marsh-Hunn, Daniel
Dissertation submitted in partial fulfilment of the requirements for the Degree of Master of Science in Geospatial Technologies Since its rst appearance the Internet of Things has been subject to constant evolution, development and change. Now it has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::d6ac77425ea409cf63e20153a6d7e4c5
https://hdl.handle.net/10362/63949
https://hdl.handle.net/10362/63949
Autor:
Arias Martín, Jorge
Publikováno v:
O2, repositorio institucional de la UOC
Universitat Oberta de Catalunya (UOC)
Universitat Oberta de Catalunya (UOC)
The objective of this TFM is to predict the energy consumption of the different geographical areas of London, Wales and Scotland, determining which climatic variables or weekdays or holidays determine the changes in consumption in the population. Wit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=RECOLECTA___::3a602815ab97722aff3f186e0535ef1f
http://hdl.handle.net/10609/102266
http://hdl.handle.net/10609/102266
Autor:
Belmonte-Fernández Ó; Institute of New Imaging Technologies (INIT), Jaume I University, Av. Vicente Sos Baynat s/n, 12071 Castelló de la Plana, Spain. oscar.belmonte@uji.es., Puertas-Cabedo A; Soluciones Cuatroochenta S.L., Av. Vicente Sos Baynat s/n, Espaitec2 Building, 12071 Castelló de la Plana, Spain. adrian.puertas@cuatroochenta.com., Torres-Sospedra J; Institute of New Imaging Technologies (INIT), Jaume I University, Av. Vicente Sos Baynat s/n, 12071 Castelló de la Plana, Spain., Montoliu-Colás R; Institute of New Imaging Technologies (INIT), Jaume I University, Av. Vicente Sos Baynat s/n, 12071 Castelló de la Plana, Spain., Trilles-Oliver S; Institute of New Imaging Technologies (INIT), Jaume I University, Av. Vicente Sos Baynat s/n, 12071 Castelló de la Plana, Spain.
Publikováno v:
Sensors (Basel, Switzerland) [Sensors (Basel)] 2016 Dec 25; Vol. 17 (1). Date of Electronic Publication: 2016 Dec 25.
