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robust optimization » process optimization (Expand Search), robust estimation (Expand Search), joint optimization (Expand Search)
binary demand » primary demand (Expand Search)
demand robust » remained robust (Expand Search), remains robust (Expand Search), remain robust (Expand Search)
binary b » binary _ (Expand Search)
b robust » _ robust (Expand Search), a robust (Expand Search)
robust optimization » process optimization (Expand Search), robust estimation (Expand Search), joint optimization (Expand Search)
binary demand » primary demand (Expand Search)
demand robust » remained robust (Expand Search), remains robust (Expand Search), remain robust (Expand Search)
binary b » binary _ (Expand Search)
b robust » _ robust (Expand Search), a robust (Expand Search)
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Models and Dataset
Published 2025“…<p dir="ltr"><b>P3DE (Parameter-less Population Pyramid with Deep Ensemble):</b><br>P3DE is a hybrid feature selection framework that combines the Parameter-less Population Pyramid (P3) metaheuristic optimization algorithm with a deep ensemble of autoencoders. …”
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Supplementary Material 8
Published 2025“…</li><li><b>XGboost: </b>An optimized gradient boosting algorithm that efficiently handles large genomic datasets, commonly used for high-accuracy predictions in <i>E. coli</i> classification.…”
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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“…Introduction<p>The increasing complexity of athlete cardiovascular risk profiles, coupled with evolving demands in pre-participation screening, necessitates robust, interpretable, and physiologically grounded assessment tools. …”