„Meta-Learning“
Suchergebnisse
4.366 Treffer
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Optimization of Wire Arc Additive Manufacturing Parameters for Steel–Aluminum Bimetallic Interface: A Comparative Study of Metaheuristic and Machine Learning Approaches
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Enhanced Temperature Prediction in Ladle Furnace Steel Refining: Hybrid Process Modeling Based on Computational Thermodynamics and Statistical Learning Methods
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Prediction of Titanium Content of Nickel–Iron-Base Alloy in Electroslag Remelting Based on Machine Learning and SHapley Additive ExPlanations
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Deep Learning Model for Cold-Rolled Plate Defect Detection Based on Omni-dimensional Dynamic Convolution and Global Attention Mechanism Enhancement
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A Robust Machine Learning Framework for Predicting Slag Eye Formation in Industrial Steelmaking Ladles
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Physically Informed Multiscale Learning for Property Prediction and Process Optimization in Hot Rolling
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Deep-Transfer-Learning Network for Recognizing Splash of BOF Steelmaking Process with Non-equilibrium Samples
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Enhancing Predictive Accuracy of Slag Eye Morphology in Ladle Refining: A Comparative Study of Machine Learning Algorithms
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A Hybrid Approach to Longitudinal Crack Detection with Computer Vision, Image Processing, and Machine Learning
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Investigation on Mold Heat Transfer Control by Integrating Measurement, Coupled Heat Transfer and Flow Simulation, and Machine Learning
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Predicting the Viscosity of CaF2-Based Slag and Reverse Design of Electroslag Systems Using Explainable Machine Learning
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Machine Learning Applications to Dust Storms: A Meta-Analysis
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Machine Learning Assisted Design of High Thermal Conductivity and High Strength Mg Alloys
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A Hybrid Update of the Fe-Si System by DSC, Thermodynamic Modeling and Statistical Learning from Ladle Refining Data of Electrical Steels
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Learning incommensurate concepts
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Machine Learning Prediction and Optimization of Cold Metal Transfer Welding Parameters for Enhancing the Mechanical and Microstructural Properties of Austenitic-Ferritic Stainless-Steel Joints
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On the Use of Data-Driven Machine Learning for Probabilistic Fatigue Life Prediction of Metallic Materials Based on Mesoscopic Defect Analysis
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Transfer Learning Deep EDC-Tabnet for Predicting End-Point of BOF Steelmaking Process with Small Samples
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Experimentally Validated and Empirically Compared Machine Learning Approach for Predicting Yield Strength of Additively Manufactured Multi-Principal Element Alloys from Co–Cr–Fe–Mn–Ni System
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Effective theory building and manifold learning