[Elsevier] Interpretable multi-objective machine learning with calibrated uncertainty for deployment-oriented prediction of defects and properties in polymer FFF |
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Reward10points
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Enhancement of power system steady-state stability through allocation of quantum-inspired grey wolf optimization algorithm-based multiple D-STATCOM Units
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Predictive value of frontal QRS-T angle after cardiac resynchronization therapy
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Interpretable multi-objective machine learning with calibrated uncertainty for deployment-oriented prediction of defects and properties in polymer FFF
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An appropriate acid leaching sequence in rice husk ash extraction to enhance the produced green silica quality for sustainable industrial silica gel purpose
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[Full book]Metallurgy and Design of Alloys with Hierarchical Microstructures Second Edition
