Automated pill identification from images can prevent medication errors that harm millions of patients every year, yet it remains difficult: visually near-identical pills must be distinguished from a single professional reference image per class, while queries arrive as consumer photographs taken under uncontrolled con...
Linh Nguyen Thi My, Tu Nguyen Huynh, Huy Nguyen Cong et al.· 2026 4th International Confe...· 0 citations
Pill recognition is hard across regions: training and deployment images differ across regulatory standards (e.g., U.S. FDA vs. Hungary’s OGYEIv2), and smartphone-budget compact models often lose accuracy on out-of-region pills. We benchmark 31 deep architectures on a U.S. source dataset (ePillID) and evaluate zero-shot...
Nhat Linh Do, Dzi Lam Tran Tuan, V. Hoang· 2026 4th International Confe...· 1 citation
This research introduces VSL400, a multi-view video dataset for isolated word-level recognition of Vietnamese Sign Language (VSL). The dataset contains 74,259 manually annotated video clips covering 400 glosses performed by 28 signers, including deaf student signers and additional trained VSL signers. Each signing in...
Trung Nguyen Quoc, Khoi Pham Dang, Viet Truong Duy et al.· Scientific Data· 1 citation
Automated Machine Learning (AutoML) has rapidly transformed the landscape of artificial intelligence by democratizing access to sophisticated machine learning models and streamlining complex development workflows. This systematic review, conducted in accordance with the PRISMA 2020 guidelines, comprehensively analy...
Mohamad Abou Ali, F. Dornaika, Hussein Ali et al.· Artificial Intelligence Revi...· 0 citations
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