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optimisation algorithm » optimization algorithm (Expand Search), optimization algorithms (Expand Search), maximization algorithm (Expand Search)
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data process » data processing (Expand Search), damage process (Expand Search), data access (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data risk » data raise (Expand Search), aaa risk (Expand Search)
optimisation algorithm » optimization algorithm (Expand Search), optimization algorithms (Expand Search), maximization algorithm (Expand Search)
mitigation algorithm » maximization algorithm (Expand Search), optimization algorithm (Expand Search), indication algorithms (Expand Search)
process optimisation » process optimization (Expand Search), robust optimisation (Expand Search), process simulation (Expand Search)
data process » data processing (Expand Search), damage process (Expand Search), data access (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
data risk » data raise (Expand Search), aaa risk (Expand Search)
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Scheduling method for pairing night-shift and morning-shift duties on metro lines with complex structure
Published 2022“…To improve the rest time of crews, this paper proposes a binary programming model to optimise the NMDPP. Moreover, a hybrid algorithm combining General Variable Neighbourhood Search (GVNS) with an Assignment Algorithm is designed to find high-quality solutions for this problem. …”
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Image 1_A multimodal AI-driven framework for cardiovascular screening and risk assessment in diverse athletic populations: innovations in sports cardiology.png
Published 2025“…</p>Results and Discussion<p>Experimental evaluation across varied athlete cohorts demonstrates superior performance in risk stratification accuracy, diagnostic plausibility, and model transparency compared to traditional screening algorithms. …”
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Fairness in Machine Learning: A Review for Statisticians
Published 2025“…<p>With the widespread application of machine learning algorithms in daily life, it is crucial to mitigate the risk of these algorithms producing socially undesirable outcomes that may disproportionately disadvantage certain groups or individuals based on demographic characteristics such as gender, race, or disabilities. …”