Výsledky vyhledávání - "Mohamed El Khayat"

Akademický článek

Constrained temperature and relative humidity predictive control: Agricultural greenhouse case of study

Autor: Hafsa Hamidane, Samira EL Faiz, Iliass Rkik, Mohamed El Khayat, Mohammed Guerbaoui, Abdelali Ed-Dahhak, Abdeslam Lachhab

Publikováno v: Information Processing in Agriculture, Vol 11, Iss 3, Pp 409-420 (2024)

The importance of Model Predictive Control (MPC) has significant applications in the agricultural industry, more specifically for greenhouse’s control tasks. However, the complexity of the greenhouse and its limited prior knowledge prevent an exact

Externí odkaz: https://doaj.org/article/6ee78209e7f947d99032476ab44b2e16

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Innovative and cost-effective nanodiamond based molten salt nanocomposite as efficient heat transfer fluid and thermal energy storage media

Autor: Masanobu Nogami, Nour F. Attia, Wael G. El-Sayed, M.S.A. Abdel-Mottaleb, Ibrahim M. Ismail, Mohamed El-Khayat

Publikováno v: Renewable Energy. 177:596-602

Novel and efficient molten salt nanocomposites as heat transfer nano-fluids and thermal energy storage materials have been developed. Cost-effective detonation nanodiamonds (NDs) of an average particle size of 10 nm were uniformly dispersed in binary

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0485c578fae23258f105466574986b1c
https://doi.org/10.1016/j.renene.2021.05.135

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Influences of Dietary Supplementation of Chlorella vulgaris and Spirulina platensis on Growth-Related Genes Expression and Antioxidant Enzymes in Oreochromis niloticus Fish Exposed to Heavy Metals

Autor: Hassnaa Ahmed Saleh, Hanan Sayed Gaber, Hanaa Mahmoud Mohamed El- Khayat, Asmaa Abdel-Motleb, Wafaa Abdel-Aziz Mohammed, Hend Okasha

Publikováno v: Aquaculture Studies. 22

Fish is a good indicator for monitoring of heavy metals risks. The present study was conducted to evaluate the effects of Chlorella vulgaris and Spirulina platensis dietary supplementation on Oreochromis niloticus growth under normal conditions. Addi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::e7788ae27d80b6b34043fc0ff8bb1fcc
https://doi.org/10.4194/aquast793

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Application analysis of ANFIS strategy for greenhouse climate parameters prediction: Internal temperature and internal relative humidity case of study

Autor: Iliass Rkik, M. Guerbaoui, Samira El Faiz, Hafsa Hamidane, A. Lachhab, Abdelali Ed-Dhhak, Mohamed El Khayat

Publikováno v: E3S Web of Conferences, Vol 297, p 01041 (2021)

The present paper, introduces Adaptive Neuro Fuzzy Inference System (ANFIS) as one of the most mature and intelligent methods to predicte internal temperature and relative humidity of a greenhouse system. To conduct the application of the proposed st

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::aed223fe61c10e19ea7dd3f5840bc6b8
https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/73/e3sconf_iccsre21_01041.pdf

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