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Akademický článek

Assessment of micro-scale heat exchangers efficiency using lattice Boltzmann method and design of experiments

Autor: Mokhtar Ferhi, Sameh Abidi, Ridha Djebali, Fateh Mebarek-Oudina

Publikováno v: Energy and Built Environment, Vol 5, Iss 6, Pp 840-852 (2024)

The study is focused on the use of nanofluids in a micro-open tall cavity, which is a type of micro heat exchanger (MHE). The cavity is heated from the bottom sidewall in a sinusoidal pattern, and the effects of four input parameters (Ra, Ha, Kn, and

Externí odkaz: https://doaj.org/article/e552de8c274e4432a6b0508d5f2b3eaa

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Akademický článek

Obfuscated malware detection using deep neural network with ANOVA feature selection on CIC-MalMem-2022 dataset

Autor: Mourad Hadjila, Mohammed Merzoug, Wafaa Ferhi, Djillali Moussaoui, Al Baraa Bouidaine, Mohammed Hicham Hachemi

Publikováno v: Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki, Vol 24, Iss 5, Pp 849-857 (2024)

Malware analysis is the process of dissecting malicious software to understand its functionality, behavior, and potential risks. Artificial Intelligence (AI) and deep learning are ushering in a new era of automated, intelligent, and adaptive malwar

Externí odkaz: https://doaj.org/article/70df302c065747e79efa9208db9157c0

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Akademický článek

New Insights into Molecular Characterization, Antimicrobial Resistance and Virulence Factors of Methicillin-Sensitive Coagulase-Positive Staphylococcus spp. from Dogs with Pyoderma and Otitis Externa

Autor: Faten Ben Chehida, Wafa Tombari, Haythem Gharsa, Youssef Rabia, Sana Ferhi, Maha Jrad, Lilia Messadi

Publikováno v: Microbiology Research, Vol 15, Iss 3, Pp 1208-1224 (2024)

The first Tunisian national molecular survey of coagulase-positive staphylococci (CoPS) isolated from dogs with pyoderma and otitis externa was conducted to evaluate the prevalence of CoPS and identify its phenotypic and genotypic diversities. A tota

Externí odkaz: https://doaj.org/article/dd7689a1a94e4119a03cff248fa5fa48

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Akademický článek

Enhancing diagnostic accuracy in symptom-based health checkers: a comprehensive machine learning approach with clinical vignettes and benchmarking

Autor: Leila Aissaoui Ferhi, Manel Ben Amar, Fethi Choubani, Ridha Bouallegue

Publikováno v: Frontiers in Artificial Intelligence, Vol 7 (2024)

IntroductionThe development of machine learning models for symptom-based health checkers is a rapidly evolving area with significant implications for healthcare. Accurate and efficient diagnostic tools can enhance patient outcomes and optimize health

Externí odkaz: https://doaj.org/article/beab1597f37f43118bc24302f237d4ee

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Akademický článek

Lipoma arborescens of the knee: A case report

Autor: Hajar Ouazzani Chahdi, Nizar El Bouardi, Mariyem Ferhi, Amal Akammar, Meriam Haloua, Moulay Youssef Alaoui Lamrani, Meryem Boubbou, Mustapha Maaroufi, Badreedine Alami

Publikováno v: Radiology Case Reports, Vol 19, Iss 6, Pp 2272-2276 (2024)

Lipoma arborescens is a rare and benign intra-articular lesion characterized by a lipomatous proliferation of the synovial membrane, usually affects the knee joint. It presents as an unusual cause of intermittent knee pain and joint effusion.We repor

Externí odkaz: https://doaj.org/article/b3da87fdeb3e4af6a16d3dd420894edd

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