Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Raúl Miñón"'
Publikováno v:
Sensors, Vol 23, Iss 23, p 9495 (2023)
In recent years, more and more devices are connected to the network, generating an overwhelming amount of data. This term that is booming today is known as the Internet of Things. In order to deal with these data close to the source, the term Edge Co
Externí odkaz:
https://doaj.org/article/7d62321893e849628a19f374ca3edd04
Publikováno v:
Sensors, Vol 22, Iss 12, p 4425 (2022)
Development and operations (DevOps), artificial intelligence (AI), big data and edge–fog–cloud are disruptive technologies that may produce a radical transformation of the industry. Nevertheless, there are still major challenges to efficiently ap
Externí odkaz:
https://doaj.org/article/512d68f6632e4601bccb039b9a362382
Publikováno v:
Sensors, Vol 20, Iss 23, p 6712 (2020)
In the smart city context, Big Data analytics plays an important role in processing the data collected through IoT devices. The analysis of the information gathered by sensors favors the generation of specific services and systems that not only impro
Externí odkaz:
https://doaj.org/article/956d4f16482148058cbf1bdb72e83a37
Publikováno v:
Future Generation Computer Systems. 140:18-35
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::86e6514c2d24c2127e5fd62cee35a321
https://doi.org/10.1016/j.future.2022.10.008
https://doi.org/10.1016/j.future.2022.10.008
Publikováno v:
Cognitive Computing and Internet of Things.
This paper deals with visualization of time and safety critical data collected in underground mining operations. These data contain information of the rock mass and its behavior, the environmental conditions as well as general geometric, and time dep
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c747f30d5f77b13fe8325f245dd16de9
https://doi.org/10.54941/ahfe1001835
https://doi.org/10.54941/ahfe1001835
Publikováno v:
Data Spaces ISBN: 9783030986353
Data has been identified as a valuable input to boost enterprises. Nowadays, with the vast quantity of data available, a favorable scenario is established to exploit it, but crucial challenges must be addressed, highlighting its sharing and governanc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f485c85015b64fc23b283938f65c836
https://doi.org/10.1007/978-3-030-98636-0_4
https://doi.org/10.1007/978-3-030-98636-0_4
Publikováno v:
TECNALIA Publications
Fundación Tecnalia Research & Innovation
Sensors
Volume 20
Issue 23
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 6712, p 6712 (2020)
Fundación Tecnalia Research & Innovation
Sensors
Volume 20
Issue 23
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 6712, p 6712 (2020)
In the smart city context, Big Data analytics plays an important role in processing the data collected through IoT devices. The analysis of the information gathered by sensors favors the generation of specific services and systems that not only impro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2663ac9f76eb231ea040ebcaab747fab
http://hdl.handle.net/11556/1027
http://hdl.handle.net/11556/1027
Publikováno v:
2020 5th International Conference on Smart and Sustainable Technologies (SpliTech)
In this paper we introduce PADL, a language for modeling and deploying data-based analytical pipelines. The novelty of this language relies on its independence from both the infrastructure and the technologies used on it. Specifically, this descripti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd272ca68f44ea3aa0145c5ab9ea7021
Publikováno v:
ECSA (Companion)
An industry transformation is being boosted by Big Data and Cloud technologies. We present a Big Data architecture, which expands the life cycle of data processing through the Edge, Fog and Cloud computing layers. The proposed architecture takes adva
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bb0170b5a3f18afd6a75d62e7406398
https://doi.org/10.1145/3344948.3344987
https://doi.org/10.1145/3344948.3344987
Autor:
Raul Gomez Cid-Fuentes, Angel Conde, Enrique Onieva, Mikel Canizo, Santiago Charramendieta, Raúl Miñón
Publikováno v:
TECNALIA Publications
Fundación Tecnalia Research & Innovation
IEEE Access, Vol 7, Pp 52455-52466 (2019)
Fundación Tecnalia Research & Innovation
IEEE Access, Vol 7, Pp 52455-52466 (2019)
The emergence of Industry 4.0 and the Internet of Things (IoT) has meant that the manufacturing industry has evolved from embedded systems to cyber-physical systems (CPSs). This transformation has provided manufacturers with the ability to measure th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cfc1fd40ef85bd841c682e0702fd0397
http://hdl.handle.net/11556/726
http://hdl.handle.net/11556/726