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Nicolae Goga
Researcher at Politehnica University of Bucharest
Publications - 141
Citations - 1561
Nicolae Goga is an academic researcher from Politehnica University of Bucharest. The author has contributed to research in topics: Computer science & Ontology (information science). The author has an hindex of 14, co-authored 117 publications receiving 1328 citations. Previous affiliations of Nicolae Goga include Eindhoven University of Technology & University of Bucharest.
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Proceedings ArticleDOI
An Innovative Blockchain System for Smart Grids
Mandana Falahi,Andrei Vasilateanu,Nicolae Goga,George Suciu,Mari-Anais Sachian,Robert Florescu,H. A. Ali,Yi Qian +7 more
TL;DR: Testbed2 as discussed by the authors is a large interdisciplinary European research project that focuses on developing new techniques to improve the scalability of smart grid services using new technologies such as blockchain, which includes blockchain as a certification authority.
Proceedings ArticleDOI
PrEmISES - optimizing the Semantically-Enabled data used by small and medium enterprises
TL;DR: In this paper, the architectural details for two main components used in the European project E8949 PrEmISES project: the "Analyzing and Indexing Component" plus the "Ontology generation Component" are presented.
Human individuals' localization monitoring (using open source technologies)
TL;DR: Remote human beings location monitoring through methods that are provided remotely managed open source services, becomes a required component in many public and private systems that work with human beings and for their benefits as discussed by the authors .
Pig welfare through behavior learning from camera recordings
TL;DR: It was observed based on the recordings that 83% of the time the pigs spend it lying down, 7% is spent eating and 10% ofThe time they walk and sit, and Pig limp was also detected.
Proceedings ArticleDOI
Enterprise domain ontology learning from web-based corpus
TL;DR: In this paper, a semantic search engine for relevant documents in an enterprise, based on automatic generated domain ontologies, is proposed, focusing on the component for ontology learning and population.