Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Andrea Urgolo"'
Publikováno v:
IEEE Access, Vol 11, Pp 57349-57364 (2023)
In several domains, systems generate continuous streams of data during their execution, including meaningful telemetry information, that can be used to perform tasks like preemptive failure detection. Deep learning models have been exploited for thes
Externí odkaz:
https://doaj.org/article/5e835e530bc94be7bfa3d6c02478e50d
Publikováno v:
Sensors, Vol 21, Iss 8, p 2728 (2021)
Real-time estimation of temperatures in indoor environments is critical for several reasons, including the upkeep of comfort levels, the fulfillment of legal requirements, and energy efficiency. Unfortunately, setting an adequate number of sensors at
Externí odkaz:
https://doaj.org/article/15947a8db4fd41d0afe87513fd8d5d0c
Publikováno v:
ICDM (Workshops)
Real-time measurement of temperatures in indoor environments is important for several reasons, among which we mention the maintenance of comfort levels, the satisfaction of legal requirements, and the energy efficiency. However, placing a sufficient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1a71b7f694bed4385f0ff126176b6ba1
https://doi.org/10.1109/icdmw51313.2020.00117
https://doi.org/10.1109/icdmw51313.2020.00117
Publikováno v:
Scopus-Elsevier
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::18d0d6c15f9fd29facea2d6383adccaf
http://hdl.handle.net/11390/1196780
http://hdl.handle.net/11390/1196780
