Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Mehdi Najib"'
Autor:
Youssef Alidrissi, Marouane Wakil, Mehdi Najib, Samir Idrissi Kaitouni, Mohamed Oualid Mghazli, Mohamed Bakhouya
Publikováno v:
Data in Brief, Vol 57, Iss , Pp 111110- (2024)
Integrating natural ventilation with Earth-to-Air Heat Exchangers (EAHE) is an innovative approach that effectively combines the benefits of both systems to enhance indoor environments while reducing energy consumption and operational costs. Many stu
Externí odkaz:
https://doaj.org/article/6af42b25827f47aeaa31a1471fcc25c0
Publikováno v:
Data in Brief, Vol 48, Iss , Pp 109080- (2023)
The integration of electric vehicles (EV) into the global car fleet has seen a major shift boosted by the new environmental regulations. The adoption of this low-carbon vehicle is hampered by several constraints in emerging countries and particularly
Externí odkaz:
https://doaj.org/article/248739917de6473ca53f3705c9624e30
Publikováno v:
Big Data Mining and Analytics, Vol 4, Iss 1, Pp 56-64 (2021)
Speed forecasting has numerous applications in intelligent transport systems’ design and control, especially for safety and road efficiency applications. In the field of electromobility, it represents the most dynamic parameter for efficient online
Externí odkaz:
https://doaj.org/article/51f64d259a724d98a74d2c330a74e011
Publikováno v:
IEEE Access, Vol 9, Pp 119918-119938 (2021)
This article is an introductory work towards a larger research framework relative to Scientific Prediction. It is a mixed between science and philosophy of science, therefore we can talk about Experimental Philosophy of Science. As a first result, we
Externí odkaz:
https://doaj.org/article/28d1cafe65004bc88f7f168acbfda9fd
Accurate time series forecasts are crucial for various applications, such as traffic management, electricity consumption, and healthcare. However, limitations in models and data quality can significantly impact forecasts accuracy. One common issue wi
Externí odkaz:
http://arxiv.org/abs/2406.06631
Publikováno v:
Energies, Vol 14, Iss 18, p 5831 (2021)
In this paper, three main approaches (univariate, multivariate and multistep) for electricity consumption forecasting have been investigated. In fact, three major algorithms (XGBOOST, LSTM and SARIMA) have been evaluated in each approach with the mai
Externí odkaz:
https://doaj.org/article/2fbf283e61134225a1d96c8bfd08d552
Autor:
Mohamed Nezar Abourraja, Mustapha Oudani, Mohamed Yassine Samiri, Dalila Boudebous, Abdelaziz El Fazziki, Mehdi Najib, Abdelhadi Bouain, Naoufal Rouky
Publikováno v:
IEEE Access, Vol 5, Pp 13142-13156 (2017)
Le Havre Port Authority is putting into service a multimodal hub terminal with massified hinterland links (trains and barges) in order to restrict the intensive use of roads, to achieve a more attractive massification share of hinterland transportati
Externí odkaz:
https://doaj.org/article/027e4f226f9e430884eda162f8f8536a
Autor:
Mohamed Yassine Samiri, Mehdi Najib, Abdelaziz Elfazziki, Mohamed Nezar Abourraja, Dalila Boudebous, Abdelhadi Bouain
Publikováno v:
IEEE Access, Vol 5, Pp 18238-18249 (2017)
Risk evaluation of the containers remains a difficult task, often due to incomplete or ambiguous information on containers. In addition, the evaluation process needs to be adapted on an ongoing basis to cope with emerging risk factors. Furthermore, h
Externí odkaz:
https://doaj.org/article/003e3187f99044c09fb321c2ab9e0672
Autor:
Youssef NaitMalek, Mehdi Najib, Anas Lahlou, Mohamed Bakhouya, Jaafar Gaber, Mohamed Essaaidi
Publikováno v:
Sustainability; Volume 14; Issue 16; Pages: 9993
Nowadays, electric vehicles (EV) are increasingly penetrating the transportation roads in most countries worldwide. Many efforts are oriented toward the deployment of the EVs infrastructures, including those dedicated to intelligent transportation an
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030366636
The development of new systems for the governance of water resources in agriculture is at the keen interest of precision agriculture field. These systems combine the advances of various fields such as machine learning, massive data and IoT for buildi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4b4616ecb36b112fdb1290845bd44321
https://doi.org/10.1007/978-3-030-36664-3_42
https://doi.org/10.1007/978-3-030-36664-3_42