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Mourad Ben Said

University of Manouba

SCHOLARLY PAPERS

2

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Scholarly Papers (2)

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1.

Assessing the Effectiveness of Fenbendazole Supramolecular Complexes Against Schistosomiasis, Monieziosis and Parabronemosis in Sheep

Number of pages: 18 Posted: 31 Jan 2024
Alisher Safarov, Abror Akbarov, Firuza Akramova, Dilbar Paluaniyazova, Ulugbek Shakarbaev, Salavat Khalikov, Djalaliddin Azimov and Mourad Ben Said
Academy of Science of the Republic of Uzbekistan, Academy of Science of the Republic of Uzbekistan, Karakalpak State University, Karakalpak State University named after Berdakh, Russian Academy of Sciences (RAS) - A.N. Nesmeyanov Institute of Organoelement Compounds, Academy of Science of the Republic of Uzbekistan, Academy of Science of the Republic of Uzbekistan and University of Manouba
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Helminthiasis, Schistosomiasis, Monesiosis, Parabronemosis, Praziquantel, Fenbendazole, Supramolecular complexes

2.

A Convolutional Neural Network-Based Machine Learning Prototype for Accurate Identification of Five HyalommaTick Species in Tunisia: Development and Assessment of an Experimental Prototype

Number of pages: 38 Posted: 01 Jul 2026
Essia Sebai, Nour Elhouda Habessi, anis ben aicha, Habib Fathallah, Amairia Amairia, Amani Jomli, Rihab Romdhane, Mokhtar Dhibi, Amine Mosbah, Mourad Ben Said, Moez Mhadhbi and Mohamed Aziz Darghouth
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Carthage - Faculté des Sciences de Bizerte, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, University of Manouba, affiliation not provided to SSRN and affiliation not provided to SSRN
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Hyalomma ticks, Artificial intelligence, Deep learning, Convolutional neural network, Automated tick identification, One Health surveillance