Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Vlad, MOCANU"'
Publikováno v:
2023 13th International Symposium on Advanced Topics in Electrical Engineering (ATEE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2fc49f41f126830d22bff962c54e6b33
https://doi.org/10.1109/atee58038.2023.10108089
https://doi.org/10.1109/atee58038.2023.10108089
Autor:
Vlad Mocanu
Publikováno v:
Scientific Bulletin of Naval Academy, Vol XXIII, Iss 1, Pp 116-121 (2020)
In this paper, the authors present new ways of using drones in the marine and offshore environments. The article includes the presentation of the main constructive electrical elements of a marine floating buoy, which play the role of charging base fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9565e58c145371bde3694714e099db38
https://www.anmb.ro/buletinstiintific/buletine/2020_Issue1/02_EEA/119.pdf
https://www.anmb.ro/buletinstiintific/buletine/2020_Issue1/02_EEA/119.pdf
Publikováno v:
2018 International Conference and Exposition on Electrical And Power Engineering (EPE).
The aim of the paper is to present some particularities of the electricity quality on board ships. The specific vulnerability of the naval power systems is given, first of all, by ship’s power plant and its finite character. Power generation system
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fa367a3ef6e4e6df555504f0d4e20481
https://doi.org/10.1109/icepe.2018.8559783
https://doi.org/10.1109/icepe.2018.8559783
Publikováno v:
Electrotehnica, Electronica, Automatica; Jul-Sep2021, Vol. 69 Issue 3, p55-63, 9p
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 27:1471-1478
This paper describes USI Answers a natural language question answering system for semi-structured industry data. The paper reports on the progress towards the goal of offering easy access to enterprise data to a large number of business users, most o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d21fe5e20fa78c6b08c6587d4342e8d0
https://doi.org/10.1609/aaai.v27i2.18985
https://doi.org/10.1609/aaai.v27i2.18985
Publikováno v:
AI Magazine; Vol 35, No 1: Spring 2014; 38
This paper describes USI Answers — a natural language question answering system for enterprise data. We report on the progress towards the goal of offering easy access to enterprise data to a large number of business users, most of whom are not fam
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9bc956e03a52153519aca59ac0ed2f92
http://aaai.org/ojs/index.php/aimagazine/article/view/2502
http://aaai.org/ojs/index.php/aimagazine/article/view/2502
