Zobrazeno 1 - 10 of 59 pro vyhledávání: '"Adel Mahfoudhi"'
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Akademický článek
Tannin-rich natural dye extracted from kermes oak (Quercus coccifera L.): Process optimization using response surface methodology (RSM)
Autor: Noureddine Baaka, Adel Mahfoudhi, Mohamed Farouk Mhenni
Publikováno v: Journal of Natural Fibers, Vol 16, Iss 8, Pp 1209-1220 (2019)
The present research reports the extraction of natural colorant from kermes oak (Quercus coccifera L.) fruits. Response surface methodology (RSM) with the help of Minitab (Version 17, State College, PA, USA) was used for the optimization of the extra
Externí odkaz: https://doaj.org/article/2f4fe610f7a24421854d819253c35adc
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3
Performance evaluation of Convolutional Neural Network for web security
Autor: Adel Mahfoudhi, Ines Jemal, Omar Cheikhrouhou, Mohamed Amine Haddar
Publikováno v: Computer Communications. 175:58-67
Due to the daily use of web applications in several critical domains such as banking and online shopping, cybersecurity has become a challenge. Recently, deep learning techniques have achieved promising results and attracted cybersecurity researchers
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::11232b4ebc29d7c2d293526787b8f1f1
https://doi.org/10.1016/j.comcom.2021.04.029
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Search‐based software engineering for optimising usability of user interfaces within model transformations
Autor: Adel Mahfoudhi, Marwa Hentati, Lassaad Benammar, Abdelwaheb Trabelsi
Publikováno v: IET Software. 13:368-378
Search-based Software Engineering stands for an important area of research which involves finding optimal solutions for software engineering problems according to a set of conflicting objectives. One of these problems is improving the software qualit
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::95cd383b28ace72a9cf4c6aaa5d451b4
https://doi.org/10.1049/iet-sen.2018.5161
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7
Malicious Http Request Detection Using Code-Level Convolutional Neural Network
Autor: Adel Mahfoudhi, Omar Cheikhrouhou, Ines Jemal, Mohamed Haddar
Publikováno v: Lecture Notes in Computer Science ISBN: 9783030688868
CRiSIS
Http requests represent the main component of a web navigation system. These requests, once received by the server, need to be analyzed to guarantee that they are attack-free. Attacks carried by Http requests can have disastrous effects. Due to the i
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6148d987b77badbbfaeadb97629fa7b7
https://doi.org/10.1007/978-3-030-68887-5_19
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8
M-CNN: A New Hybrid Deep Learning Model for Web Security
Autor: Omar Cheikhrouhou, Mohamed Amine Haddar, Adel Mahfoudhi, Ines Jemal
Publikováno v: AICCSA
Http requests refer to the way web clients can communicate with web servers. Web attacks represent suspicious changes to normal web requests. It is important to perform detection quickly and accurately for the efficient operation of highly solicited
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5a510f01f8a089868e5818fe4b8aacbe
https://doi.org/10.1109/aiccsa50499.2020.9316508
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9
A Multi-view Deep Convolutional Neural Network for Reduction of False Positive Findings in Breast Cancer Screening
Autor: Nouha Derbel, Adel Mahfoudhi, Hedi Tmar
Publikováno v: ATSIP
Screening mammography is commonly the only imaging exam allowing early-stage detection of breast cancer. The early detection is, in fact, associated with a decreased breast cancer mortality rate amongst women. However, false positive recall is one of
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::516c5019e1ce6b435b1206c15cb845d2
https://doi.org/10.1109/atsip49331.2020.9231738
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