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Author

A. Ben Aicha

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Open access Sep 2026

A convolutional neural network-based machine learning prototype for accurate identification of five Hyalomma tick species in Tunisia: Development and assessment of an experimental prototype.

Accurate tick species identification is essential for vector surveillance and control of tick-borne diseases, but conventional morphological diagnosis remains challenging for closely related Hyalomma species. This study developed and evaluated a deep learning-based framework for automated recognition of five medically...

E. Sebai, Nour Elhouda Habessi, A. Ben Aicha et al. · 0 citations
Review Aug 2026

Language-driven models for video anomaly detection: taxonomy, datasets, and future horizons

This work proposes a novel taxonomy categorizing 34 existing language-driven VAD methods based on learning paradigm, core architecture, adaptation strategy, and functional output, and serves as a foundational resource for the VAD community, advancing the understanding and application of language-driven models in addres...

Olfa Saket, A. Ben Aicha, H. Fathallah · 0 citations

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