A structured analytical framework is introduced to benchmark existing studies and guide the development of more robust, explainable, and clinically deployable DL-based diagnostic tools for hematological imaging.
M. Duc, K. T. Vo, René Jaros et al.· Artificial Intelligence Revi...· 0 citations
Real-time object detection is a cornerstone of intelligent transportation systems, where the YOLO (You Only Look Once) family has long defined the accuracy–speed trade-off. The emergence of Mamba—a selective state-space model that captures long-range dependencies in linear time—has triggered a wave of research embedd...
T. Vo, René Jaros, Ly Duc Minh et al.· Artificial Intelligence Revi...· 0 citations
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
This work defines a modular late-fusion function that combines semantic similarity (cosine of embeddings) and structural similarity (bibliographic coupling) with a tunable weight alpha whose value is chosen according to the specific task.
This study highlights key curatorial and audience-acceptance challenges associated with employing AI as a “co-creator” in gallery practice, creating four visitor segments: Traditionalists, Visualists, Skeptics, and AI Enthusiasts.
Robert Šamárek, Kristýna Klimková, Vojtěch Koňařík et al.· Scientific Reports· 0 citations
A heterogeneous multivariate graph model over OpenAlex open data and a methodology based on projections (citation and co-authorship networks), interpretable structural metrics, community detection, and three screening detectors of anomalous publishing patterns are defined.
Robert Šamárek, R. Martínek· 0 citations
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