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pro vyhledávání: '"Sehili, A."'
Multivariate Time Series (MVTS) anomaly detection is a long-standing and challenging research topic that has attracted tremendous research effort from both industry and academia recently. However, a careful study of the literature makes us realize th
Externí odkaz:
http://arxiv.org/abs/2308.13068
Publikováno v:
In Journal of Photochemistry & Photobiology, A: Chemistry 1 August 2024 453
Publikováno v:
In Journal of Photochemistry & Photobiology, A: Chemistry 1 January 2025 458
Publikováno v:
In Applied Thermal Engineering 15 July 2024 249
Publikováno v:
In Journal of Water Process Engineering April 2024 60
Autor:
Sehili, Youcef, Loubar, Khaled, Lounici, Mohand Said, Tarabet, Lyes, Cerdoun, Mahfoudh, Lacroix, Clément
Publikováno v:
In Fuel 15 February 2024 358 Part B
Publikováno v:
In Journal of Photochemistry & Photobiology, A: Chemistry 1 January 2024 446
Publikováno v:
In Journal of Photochemistry & Photobiology, A: Chemistry 1 January 2024 446
Autor:
Sehili, Youcef1 (AUTHOR) youcef.sehili@imt-atlantique.fr, Loubar, Khaled1 (AUTHOR) khaled.loubar@imt-atlantique.fr, Tarabet, Lyes2 (AUTHOR), Cerdoun, Mahfoudh2 (AUTHOR), Lacroix, Clément1 (AUTHOR)
Publikováno v:
Energies (19961073). Mar2024, Vol. 17 Issue 5, p1231. 19p.
Publikováno v:
Energies, Vol 17, Iss 5, p 1231 (2024)
In response to increasingly stringent emissions regulations and the depletion of conventional fuel sources, integrating carbon-free fuels into the transport sector has become imperative. While hydrogen (H2) presents significant technical challenges,
Externí odkaz:
https://doaj.org/article/f82e7a58493f46708dcfd451a180f63a