Chemically-informed active learning enables data-efficient multi-objective optimization of self-healing polyurethanes. [PDF]
Liang K, Qi X, Xiao X, Wang L, Zhang J.
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Data mining historical Chinese medical recipe collections and nuclear receptor profiling identify plant fractions that modulate glucocorticoid receptor activity. [PDF]
Prackwieser J +9 more
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Machine learning guided resolution of mechanical trade-off in polymer composites via stress adaptive interface. [PDF]
Wang H +8 more
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Distilling the Pareto Optimal Front into Actionable Insights
Sydney E. White +4 more
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A multi dataset validation model for hybrid feature selection in wind energy maximum power point tracking systems. [PDF]
Duraisamy S, Thangavelu V.
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Pareto-Based Diagnostics and Selection for Mechanics-Synergy Trade-Offs in Unmeasured Muscle Activation Reconstruction. [PDF]
Jiang PH, Chan KY.
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Application of the quality control circle model to reduce non-conforming surgical instrument packaging and hospital-acquired infection risk: a pilot study. [PDF]
Mai L +5 more
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Quantum approximate multi-objective optimization. [PDF]
Kotil A +6 more
europepmc +1 more source
A time-coupled multi-objective distributionally robust chance-constrained framework for grid resilience enhancement using mobile emergency generators. [PDF]
Ashokaraju D +4 more
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Pareto-based design of thermophotovoltaic micro-combustors via a novel framework combining IGWO-tuned ANN, multi-objective multi-verse optimization, and ARAS-based decision making. [PDF]
Alawad MA +7 more
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