Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Nicoleta Rogovschi"'
Autor:
Khalil Bachiri, Ali Yahyaouy, Hamid Gualous, Maria Malek, Younes Bennani, Philippe Makany, Nicoleta Rogovschi
Publikováno v:
Energies, Vol 16, Iss 16, p 6067 (2023)
Electric vehicles (EVs) are a sustainable transportation solution with environmental benefits and energy efficiency. However, their popularity has raised challenges in locating appropriate charging stations, especially in cities with limited infrastr
Externí odkaz:
https://doaj.org/article/0c21bbf0c6c84ce2aa1b75bb0adce6d7
Autor:
Benlamine, Kaoutar, Grozavu, Nistor, Bennani, Younès, Nicoleta, Rogovschi, Haddadou, Kamel, Amamou, Ahmed
Publikováno v:
In Procedia Computer Science 2018 144:60-70
Publikováno v:
Lecture Notes in Networks and Systems ISBN: 9783031275234
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::65da54e1a622f1cabdeda99d9469b0ab
https://doi.org/10.1007/978-3-031-27524-1_12
https://doi.org/10.1007/978-3-031-27524-1_12
Publikováno v:
Journal of Intelligent Systems, Vol 30, Iss 1, Pp 327-345 (2020)
The interest in data anonymization is exponentially growing, motivated by the will of the governments to open their data. The main challenge of data anonymization is to find a balance between data utility and the amount of disclosure risk. One of the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::998b51cddf459762535411c58e1efb52
https://doi.org/10.1515/jisys-2020-0026
https://doi.org/10.1515/jisys-2020-0026
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783031083327
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7dc949853404e092c580aa0e8ace07f3
https://doi.org/10.1007/978-3-031-08333-4_35
https://doi.org/10.1007/978-3-031-08333-4_35
Publikováno v:
Proceedings of the 13th International Conference on Soft Computing and Pattern Recognition (SoCPaR 2021) ISBN: 9783030963019
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::207e3b1ebe7f5c026399b3c924b91fed
https://doi.org/10.1007/978-3-030-96302-6_36
https://doi.org/10.1007/978-3-030-96302-6_36
Publikováno v:
2021 IEEE Symposium Series on Computational Intelligence (SSCI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f11833b7cae4be5fa9967fdac760285
https://doi.org/10.1109/ssci50451.2021.9659897
https://doi.org/10.1109/ssci50451.2021.9659897
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030736880
SoCPaR
SoCPaR
The feature selection process is a difficult task that can be tackled by various algorithms. Our work uses a subclass of metaheuristic algorithms called genetic algorithms (GA) to select the best subset of features that has given, for a machine learn
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43d89bd63cf7d6416da22c1d05e1ec1b
https://doi.org/10.1007/978-3-030-73689-7_55
https://doi.org/10.1007/978-3-030-73689-7_55
Publikováno v:
IFIP Advances in Information and Communication Technology ISBN: 9783030491604
AIAI (1)
AIAI (1)
The amount of devices gathering and using personal data without the person’s approval is exponentially growing. The European General Data Protection Regulation (GDPR) came following the requests of individuals who felt at risk of personal privacy b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::968d04d01b200f3fca78c7503841924d
https://doi.org/10.1007/978-3-030-49161-1_8
https://doi.org/10.1007/978-3-030-49161-1_8
Publikováno v:
Neurocomputing
Neurocomputing, Elsevier, 2016, 175, pp.206--215. 〈http://dx.doi.org/10.1016/j.neucom.2015.10.050〉. 〈10.1016/j.neucom.2015.10.050〉
Neurocomputing, Elsevier, 2016, 175, pp.206--215. ⟨10.1016/j.neucom.2015.10.050⟩
Neurocomputing, Elsevier, 2016, 175, pp.206--215. 〈http://dx.doi.org/10.1016/j.neucom.2015.10.050〉. 〈10.1016/j.neucom.2015.10.050〉
Neurocomputing, Elsevier, 2016, 175, pp.206--215. ⟨10.1016/j.neucom.2015.10.050⟩
International audience; A collaborative filtering system (CF) aims at filtering huge amount of information, in order to guide users of web applications towards items that might interest them. Such a system, consists in recommending a set of personali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::91d92dd952869ba90e2a4ef44c5b3b46
https://doi.org/10.1016/j.neucom.2015.10.050
https://doi.org/10.1016/j.neucom.2015.10.050