Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Laurent Dala"'
Publikováno v:
Applied Sciences, Vol 12, Iss 20, p 10643 (2022)
This paper develops an intelligent real-time learning framework for the last-mile delivery of mobility as a service in city planning, based upon safe infrastructure use. Through a hybrid approach integrating statistics and supervised machine learning
Externí odkaz:
https://doaj.org/article/a19d8fe3677b412f87e29e2be208bbcc
Publikováno v:
Future Internet, Vol 14, Iss 1, p 9 (2021)
To create a safe bicycle infrastructure system, this article develops an intelligent embedded learning system using a combination of deep neural networks. The learning system is used as a case study in the Northumbria region in England’s northeast.
Externí odkaz:
https://doaj.org/article/8d48091d807442c4be4e7ecf6050e69c
Autor:
Muhammad Wakil Shahzad, Muhammad Sultan, Laurent Dala, Ben Bin Xu, Muhammad Ahmad Jamil, Nida Imtiaz, Yinzhu Jiang
Global energy demand is expected to grow 47% by 2050, with oil remaining the number one source of energy. Renewables make up 27% of the global energy mix, as predicted by the International Energy Agency (IEA). To achieve IEA's 2050 Net Zero targets,
Publikováno v:
International Journal of Numerical Methods for Heat & Fluid Flow. 33:1379-1393
Purpose This paper aims to investigate the influence of smooth curvature distributions on the self-noise of a low Reynolds number aerofoil and to unveil the flow mechanisms in the phenomenon. Design/methodology/approach In this paper, large Eddy simu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63034d1f4d1ce4b8a03f4b52c1d954f5
https://doi.org/10.1108/hff-07-2022-0418
https://doi.org/10.1108/hff-07-2022-0418
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:11178-11189
A cyclist is a vulnerable road user whose interaction with the road infrastructure depends on several factors, including variable environmental conditions of lighting and meteorological road surface. This paper is concerned with nanoscopic crash mode
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2025926172cdd0461a346354d5834148
https://doi.org/10.1109/tits.2021.3101118
https://doi.org/10.1109/tits.2021.3101118
Autor:
Takeshi Akinaga, Fadi Alnaimat, S. Arulvel, Gil Azinheira, Christian Breyer, Upeksha Caldera, Mário Costa, Laurent Dala, P.A. Davies, Agustín M. Delgado-Torres, D. Dsilva Winfred Rufuss, Robert W. Field, Daniele Ganora, Lourdes García-Rodríguez, Veera Gnaneswar Gude, Hamdy Hassan, Ahmed Ishag, Yinzhu Jiang, V. Kapoor, Bassam Khuwaileh, Kim Choon Ng, Alberto Pistocchi, Yasir Rashid, Raquel Segurado, Muhammad Wakil Shahzad, Guoying Wei, Ben Bin Xu, Mohamed S. Yousef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fe0cd3c9b7806f498f58514096f3937f
https://doi.org/10.1016/b978-0-12-821920-1.09992-1
https://doi.org/10.1016/b978-0-12-821920-1.09992-1
Publikováno v:
2022 7th International Conference on Environment Friendly Energies and Applications (EFEA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33b90bbef9300a8a5d59a9557f365684
https://doi.org/10.1109/efea56675.2022.10063787
https://doi.org/10.1109/efea56675.2022.10063787
Publikováno v:
2022 7th International Conference on Environment Friendly Energies and Applications (EFEA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd60222d6b56a75ca1592a61903afaf6
https://doi.org/10.1109/efea56675.2022.10063814
https://doi.org/10.1109/efea56675.2022.10063814
Publikováno v:
2022 7th International Conference on Environment Friendly Energies and Applications (EFEA).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e5264ebb6bd3637011dbc6483693099c
https://doi.org/10.1109/efea56675.2022.10063794
https://doi.org/10.1109/efea56675.2022.10063794