Zobrazeno 1 - 10
of 530
pro vyhledávání: '"Mahjoub Mohamed"'
Autor:
Ktari Kamel, Sarhen Gassen, Mahjoub Mohamed, Ben Kalifa Bader, Klaii Rim, Karim Bouslam, Saidi Radhia, Jelled Anis, Saad Hamadi
Publikováno v:
African Journal of Urology, Vol 24, Iss 1, Pp 14-18 (2018)
Introduction: Acute testicular pain is frequent in urology. If torsion of the spermatic cord and orchiepididymites are usual, thrombosis of the pampiniform plexus is a very uncommon clinical entity. We present an unusual case and review the literatur
Externí odkaz:
https://doaj.org/article/05f3c0fa91c34eae958ed1d201cacfd1
Autor:
Tarchoun, Bilel, Khalifa, Anouar Ben, Mahjoub, Mohamed Ali, Abu-Ghazaleh, Nael, Alouani, Ihsen
Real-world adversarial physical patches were shown to be successful in compromising state-of-the-art models in a variety of computer vision applications. Existing defenses that are based on either input gradient or features analysis have been comprom
Externí odkaz:
http://arxiv.org/abs/2304.10029
Autor:
Bruno Eleonora, Mahjoub Mohamed-Sofiane, Hansen Benni Winding, Munk Peter, Støttrup Josianne G.
Publikováno v:
Aquatic Living Resources, Vol 30, p 35 (2017)
Aquaculture production of high-quality marine fish larvae might be hampered by poor success in larval initiation of exogenous feeding or the lack of appropriate live feed in their first feeding period. The period of larval metamorphosis may further c
Externí odkaz:
https://doaj.org/article/7863903bd6094a55bd60f2f1fb6bd8fc
Autor:
Tarchoun, Bilel, Ben Khalifa, Anouar, Mahjoub, Mohamed Ali, Abu-Ghazaleh, Nael, Alouani, Ihsen
Publikováno v:
In Neural Networks November 2024 179
While machine learning applications are getting mainstream owing to a demonstrated efficiency in solving complex problems, they suffer from inherent vulnerability to adversarial attacks. Adversarial attacks consist of additive noise to an input which
Externí odkaz:
http://arxiv.org/abs/2110.04887
Autor:
Bessadok, Alaa, Nebli, Ahmed, Mahjoub, Mohamed Ali, Li, Gang, Lin, Weili, Shen, Dinggang, Rekik, Islem
Charting the baby connectome evolution trajectory during the first year after birth plays a vital role in understanding dynamic connectivity development of baby brains. Such analysis requires acquisition of longitudinal connectomic datasets. However,
Externí odkaz:
http://arxiv.org/abs/2110.03535
Synthesizing multimodality medical data provides complementary knowledge and helps doctors make precise clinical decisions. Although promising, existing multimodal brain graph synthesis frameworks have several limitations. First, they mainly tackle o
Externí odkaz:
http://arxiv.org/abs/2110.04279
Publikováno v:
In Progrès en Urologie - FMC September 2024 34(5):F170-F174
Brain graph synthesis marked a new era for predicting a target brain graph from a source one without incurring the high acquisition cost and processing time of neuroimaging data. However, existing multi-modal graph synthesis frameworks have several l
Externí odkaz:
http://arxiv.org/abs/2107.06281
Noninvasive medical neuroimaging has yielded many discoveries about the brain connectivity. Several substantial techniques mapping morphological, structural and functional brain connectivities were developed to create a comprehensive road map of neur
Externí odkaz:
http://arxiv.org/abs/2106.03535