Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Abderrachid Hamrani"'
Publikováno v:
Virtual and Physical Prototyping, Vol 18, Iss 1 (2023)
ABSTRACTThe dynamic landscape of additive manufacturing (AM) is undergoing a transformative phase with the advent of multiple wire arc AM (MWAAM) processes. This systematic review offers an exhaustive exploration of the latest advancements and multif
Externí odkaz:
https://doaj.org/article/21ac2cec6f714d5e8b69f314e411b0ca
Autor:
Geneviève Grenon, Abderrachid Hamrani, Chandra A. Madramootoo, Bhesram Singh, Christian von Sperber
Publikováno v:
Hydrology Research, Vol 53, Iss 6, Pp 825-839 (2022)
The organic soils of Holland Marsh, Ontario are used for intensive vegetable production, which demands high-phosphorus (P) fertilizer applications. Such high-fertilizer applications on these tile-drained lands lead to eutrophication in surrounding wa
Externí odkaz:
https://doaj.org/article/b9b8d0f1b5e54190999150048bd1c4b2
Publikováno v:
Cleaner Engineering and Technology, Vol 5, Iss , Pp 100346- (2021)
The objective of this paper is to assess the potential of machine learning algorithms in predicting the indoor air temperature in a greenhouse using the outdoor data. A dataset gathering the main weather data and the indoor air temperature of a green
Externí odkaz:
https://doaj.org/article/15c44c42de524bafbca4b66a66fd668e
Autor:
Tiequan Zhang, Naeem A. Abbasi, Abderrachid Hamrani, Chandra A. Madramootoo, Manish Kumar Goyal, C. S. Tan
Publikováno v:
Biosystems Engineering. 212:1-18
Climatic parameters influence CO2 emissions and the complexity of the relationship is not fully captured in biophysical models. Machine learning (ML) is now being applied to environmental problems, and it is, therefore, opportune to investigate ML mo
Publikováno v:
International Journal of Computational Methods.
This paper presents a machine learning (ML) surrogate modeling for fast processing in meshless/meshfree methods. The main idea is to leverage the universal approximation (UA) propriety of supervised ML models (shallow/deep learning and other regressi
Publikováno v:
Cleaner Engineering and Technology, Vol 5, Iss, Pp 100346-(2021)
The objective of this paper is to assess the potential of machine learning algorithms in predicting the indoor air temperature in a greenhouse using the outdoor data. A dataset gathering the main weather data and the indoor air temperature of a green
Autor:
Geneviève Grenon, Aidan De Sena, Chandra A. Madramootoo, Christian von Sperber, Abderrachid Hamrani
Publikováno v:
Agricultural Water Management. 272:107860
Autor:
Giuseppe Bianco, Tanaji Paul, Ambreen Nisar, Abderrachid Hamrani, Benjamin Boesl, Arvind Agarwal
Publikováno v:
Materials Characterization. 191:112107
Publikováno v:
Tribology - Materials, Surfaces & Interfaces. 14:33-50
lt is a known fact that incorporating textures in the contact surfaces can significantly enhance bearing performances. The purpose of this paper is to outline the effects of texture bottom profiles and contour geometries on the performances of hydrod
Publikováno v:
Machining Science and Technology. 23:758-778
Veneer cutting is a specific machining process, where the chip is the final product. The objective of this article is to investigate on the optimal tool edge geometry, using particle swarm ...