Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Safae Bourhnane"'
Autor:
Bouali Et-taibi, Mohamed Riduan Abid, El-Mahjoub Boufounas, Abdennabi Morchid, Safae Bourhnane, Tareq Abu Hamed, Driss Benhaddou
Publikováno v:
Results in Engineering, Vol 22, Iss , Pp 102283- (2024)
It is widely acknowledged that traditional agricultural practices must effectively address the increasing global demand for food while facing water scarcity and climate change challenges. The imperative for environmentally sustainable agricultural ap
Externí odkaz:
https://doaj.org/article/37428a1ce5ea40a9b4935e29a61cf78e
Publikováno v:
Applied Sciences, Vol 11, Iss 22, p 10981 (2021)
Increases in power demand and consumption are very noticeable. This increase presents a number of challenges to the traditional grid systems. Thus, there is the need to come up with a new solution that copes with the stringent demand on energy and pr
Externí odkaz:
https://doaj.org/article/5cde14527d274273a4f513a76db8ecaa
Autor:
Safae Bourhnane, Simon Abongmbo, Lei Fan, Jian Shi, Carlos Gamarra, Mohamed Riduan Abid, Muhammad Anan, Driss Benhaddou
Publikováno v:
2022 14th International Conference on Computational Intelligence and Communication Networks (CICN).
Publikováno v:
Advances in Science, Technology and Engineering Systems Journal. 5:1598-1608
Publikováno v:
E3S Web of Conferences, Vol. 351, p. 01002 (2022)
A sound water management requires accurate field data inquiry that can eventually allow for a proper control of the field’s irrigation. This work pro-poses an automatic irrigation control system that aims at optimizing the quantity of water needed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d33874a4474990ce6bc28fddfd323fcc
https://hdl.handle.net/2078.1/271140
https://hdl.handle.net/2078.1/271140
Publikováno v:
Advanced Intelligent Systems for Sustainable Development (AI2SD’2020) ISBN: 9783030906382
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfca467be39a09361c3b9880554206d5
https://doi.org/10.1007/978-3-030-90639-9_67
https://doi.org/10.1007/978-3-030-90639-9_67
Autor:
Anas Oujja, Mohamed Riduan Abid, Jaouad Boumhidi, Safae Bourhnane, Asmaa Mourhir, Fatima Merchant, Driss Benhaddou
Publikováno v:
Genomics & Informatics
Nowadays, Genomic data constitutes one of the fastest growing datasets in the world. As of 2025, it is supposed to become the fourth largest source of Big Data, and thus mandating adequate high-performance computing (HPC) platform for processing. Wit
Publikováno v:
Applied Sciences
Volume 11
Issue 22
Applied Sciences, Vol 11, Iss 10981, p 10981 (2021)
Volume 11
Issue 22
Applied Sciences, Vol 11, Iss 10981, p 10981 (2021)
Increases in power demand and consumption are very noticeable. This increase presents a number of challenges to the traditional grid systems. Thus, there is the need to come up with a new solution that copes with the stringent demand on energy and pr
Autor:
Najib Elkamoun, Safae Bourhnane, Rachid Lghoul, Driss Benhaddou, Mohamed Riduan Abid, Khalid Zine-Dine
Publikováno v:
SN Applied Sciences. 2
Predicting energy consumption in Smart Buildings (SB), and scheduling it, is crucial for deploying Energy-efficient Management Systems. Most important, this constitutes a key aspect in the promising Smart Grids technology, whereby loads need to be pr
Autor:
Khalid Zine-Dine, Najib Elkamoun, Driss Benhaddou, Mohamed Riduan Abid, Safae Bourhnane, Rachid Lghoul
Publikováno v:
Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ISBN: 9783030456931
SESC
SESC
Green Computing has been the trend among computer scientists for its eco-friendliness. It serves as a great solution to be integrated with Smart Grids (SG). Data stemming from SGs falls under the realm of Big Data as it is voluminous, various, and ha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fef2f2d1aa5f8f3b0afdcd0e26c8720f
https://doi.org/10.1007/978-3-030-45694-8_23
https://doi.org/10.1007/978-3-030-45694-8_23