Zobrazeno 1 - 10
of 3 015
pro vyhledávání: '"A Saidani"'
Autor:
Waqas, Muhammad, Bietenholz, Wolfgang, Bouzidi, Mohamed, Ajaz, Muhammad, Ismail, Abd Al Karim Haj, Saidani, Taoufik
Publikováno v:
J. Phys. G: Nucl. Part. Phys. 51 (2024) 075102
We investigate the transverse momentum spectra of identified particles at 7 TeV and 13 TeV in pp collisions in the framework of the blast wave model with Tsallis statistics (TBW). Based on experimental data by ALICE Collaboration, we observe that the
Externí odkaz:
http://arxiv.org/abs/2406.04631
Autor:
Lazhar Loumachi, Abderrahim Yousfi, Okba Saidani, Abdullah Saad Alsubaie, Oussama Abed, Samir Amiri, Girija Shankar Sahoo, Md. Rasidul Islam
Publikováno v:
East European Journal of Physics, Iss 3, Pp 416-424 (2024)
The current study employs numerical simulations via the SCAPS-1D platform to investigate the performance of solar cells based on perovskite, with RbGeI3 utilized as an absorber material possessing a wide bandgap of 1.31 eV. Through systematic explora
Externí odkaz:
https://doaj.org/article/a9af170c65c24569acbffd494ad9e303
Publikováno v:
East European Journal of Physics, Iss 3, Pp 404-415 (2024)
Perovskite-based solar cells are currently attracting growing interest from researchers and industry alike, thanks to the advantages of this type of solar cell, particularly in terms of manufacturing simplicity and the promising power conversion effi
Externí odkaz:
https://doaj.org/article/5d211b491ea540d396d33248185d875c
Autor:
Shamshair Ali, Rubina Ghazal, Nauman Qadeer, Oumaima Saidani, Fatimah Alhayan, Anum Masood, Rabia Saleem, Muhammad Attique Khan, Deepak Gupta
Publikováno v:
Alexandria Engineering Journal, Vol 103, Iss , Pp 88-97 (2024)
In an era dominated by the Internet of Things (IoT), protecting interconnected devices from botnets has become essential. This study introduces an innovative hybrid deep learning model that synergizes LSTM Auto Encoders and Multilayer Perceptrons in
Externí odkaz:
https://doaj.org/article/6bf020167fef4681b009d604e408465d
The usage and impact of deep learning for cleaner production and sustainability purposes remain little explored. This work shows how deep learning can be harnessed to increase sustainability in production and product usage. Specifically, we utilize d
Externí odkaz:
http://arxiv.org/abs/2303.13540
Publikováno v:
New J. Phys. 26 043012 (2024)
We demonstrate theoretically and experimentally a new electromagnetic lensing concept using the magnetic vector potential - in a region free of classical electromagnetic fields - via the Aharonov-Bohm effect. This toroid-shaped lens with poloidal cur
Externí odkaz:
http://arxiv.org/abs/2301.09980
Publikováno v:
Akofena, Vol 04, Iss 013 (2024)
Résumé: Dans cet article, nous souhaitons aborder une question d'actualité dans le domaine de l'enseignement universitaire en examinant les nouvelles approches pédagogiques et pratiques de classe. Nous nous concentrerons sur la classe inversée,
Externí odkaz:
https://doaj.org/article/e40e106fea6f4f8eb37f497475b4ca28
Publikováno v:
International Journal of the Commons, Vol 18, Iss 1, Pp 490–506-490–506 (2024)
In Algeria’s M’zab Valley, the skills, knowledge, values, and rules of common resources management for surface and groundwater have been transmitted for centuries. Young people have traditionally learned agricultural and water distribution tasks
Externí odkaz:
https://doaj.org/article/bcb4756f4b7d4814b55dd7072e693ad9
Autor:
Zeeshan, Waris Khan, Taoufik Saidani, Florentin Smarandache, Muhammad Shahid Khan, Hamdi Ayed, M. Modather M. Abdou
Publikováno v:
Case Studies in Thermal Engineering, Vol 60, Iss , Pp 104800- (2024)
This research reports on the combined effects of heat and mass transfer (HMT) under the influences of the Soret and Dufour in natural convection steady 2D magnetohydrodynamic flow through the boundary layer in a porous vertical tube or duct. The curr
Externí odkaz:
https://doaj.org/article/b8fef3e638a94bcaa89c0faf43e7acc4
Autor:
Saleh Al Arni, Taoufik Saidani, Aaqib Majeed, Ashraf M.M. Abdelbacki, Nouman Ijaz, Najma Saleem
Publikováno v:
Case Studies in Thermal Engineering, Vol 60, Iss , Pp 104811- (2024)
Microbial eukaryotic species play a crucial role in biomedical research, aiding in the study of bacterial impurities, microorganism pathogenesis, and development of tactics to combat antimicrobial struggle. These species represent a complex and diver
Externí odkaz:
https://doaj.org/article/af794d289a6941e8bcd3e4dce837badd