Zobrazeno 1 - 10
of 1 501
pro vyhledávání: '"A Mehdaoui"'
Autor:
Mehdaoui, Manal, Abouaomar, Amine
Deep Reinforcement Learning (DRL) is a powerful tool used for addressing complex challenges in mobile networks. This paper investigates the application of two DRL models, on-policy and off-policy, in the field of resource allocation for Open Radio Ac
Externí odkaz:
http://arxiv.org/abs/2412.01839
The focal point of this paper is to theoretically investigate and numerically validate the effect of time delay on the exponential stabilization of a class of coupled hyperbolic systems with delayed and non-delayed dampings. The class in question con
Externí odkaz:
http://arxiv.org/abs/2410.09995
Based on the combinatorial interpretation of the ordered Bell numbers, which count all the ordered partitions of the set $[n]=\{1,2,\dots,n\}$, we introduce the Fibonacci partition as a Fibonacci permutation of its blocks. Then we define the Fibonacc
Externí odkaz:
http://arxiv.org/abs/2407.04409
Autor:
Mehdaoui, Mohamed
Publikováno v:
Applied Mathematical Modelling Volume 126, February 2024, Pages 543-567
This paper provides a first attempt to incorporate the massive discontinuous changes in the spatio-temporal dynamics of epidemics. Namely, we propose an extended class of epidemic models, governed by coupled stochastic semilinear partial differential
Externí odkaz:
http://arxiv.org/abs/2303.18239
Publikováno v:
Results in Engineering, Vol 24, Iss , Pp 102843- (2024)
The Field-Oriented Control (FOC) of PMSM is discussed in this research, and the Extended Kalman Filter (EKF) is used to predict the feed back (speed). For the non-linear system, this approach offers an optional estimating strategy that can quickly an
Externí odkaz:
https://doaj.org/article/0f3863e92e6c4c8ab1460baa70f7aca4
Autor:
Afzal Mohammad, Ullah Sher, Assad Nasir, Naeem-ul-Hassan Muhammad, Kanwal Maria, Mubashar Bakhtawar, Shahzad Roeel, Nauman Khan Muhammad, Javed Muhammad Ammar, Wahab Sana, Ali Baber, Adnan Muhammad, Kaplan Alevcan, Sarfraz Muhammad Hassan, Alkahtani Jawaher, Mehdaoui Imane
Publikováno v:
Green Processing and Synthesis, Vol 13, Iss 1 (2024)
Externí odkaz:
https://doaj.org/article/71ceacbfc3e94d2e9d3a66e37107f4d3
Autor:
Imane Mehdaoui, Rachid Mahmoud, Zineb Majbar, Sanae Berrada, Mohammed Ben Abbou, Mohamed S. Elshikh, M. Ajmal Ali, Tse-Wei Chen, Mustapha Taleb, Zakia Rais
Publikováno v:
Journal of King Saud University: Science, Vol 36, Iss 10, Pp 103471- (2024)
Background: The aim of this study was to determine the influence of physico-chemical factors on soil organic matter by comparing two types of soil improver: one produced from olive mill waste cake residues (CRPM) and the other from manure (CF). This
Externí odkaz:
https://doaj.org/article/eecbdae9574246e0a8e89be516a39f7a
Autor:
Afzal Mohammad, Ullah Sher, Assad Nasir, Naeem-ul-Hassan Muhammad, Kanwal Maria, Mubashar Bakhtawar, Shahzad Roeel, Nauman Khan Muhammad, Javed Muhammad Ammar, Wahab Sana, Ali Baber, Adnan Muhammad, Kaplan Alevcan, Sarfraz Muhammad Hassan, Alkahtani Jawaher, Mehdaoui Imane
Publikováno v:
Green Processing and Synthesis, Vol 13, Iss 1, Pp 4420-92 (2024)
In this study, the polar root extract of Cyperus scariosus R.Br. was used for the biogenic synthesis of ZnO NPs. The results of this study show that ZnO NPs have a spherical structure with an average size of 85.4 nm. The synthesized catalysts were te
Externí odkaz:
https://doaj.org/article/f6b1e319cb204ea29ba38cc19433e26c
Autor:
El Mokhtar Saoudi Hassani, Imane Mehdaoui, Dounia Azzouni, Rachid Mahmoud, Abdeslam Taleb, Gezahign Fentahun Wondmie, Ahmad Mohammad Salamatullah, Mohammed Bourhia, Samir Ibenmoussa, Mustapha Taleb, Zakia Rais
Publikováno v:
Bioresources and Bioprocessing, Vol 11, Iss 1, Pp 1-11 (2024)
Abstract The global scientific community is deeply concerned about the deterioration of water quality resulting from the release of industrial effluents. This issue is of utmost importance as it serves to safeguard the environment and combat water po
Externí odkaz:
https://doaj.org/article/ce6429c415df41fe93ea85982571a43c
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102422- (2024)
This paper's goal is to use a proportional integral derivative controller and an artificial neural network controller (ANNC) to control the speed of a BLDC motor. The outcomes of the MATLAB/SIMULINK simulation are used as the basis for comparing the
Externí odkaz:
https://doaj.org/article/dd9e2232987f4dca8498cfaf757e7e74