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Virtual Scale-Up for Sintering Process of Zno Varistor with a Data-Derived Metamodel and Numerical Simulation
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Optimal Latin-hypercube designs for computer experiments
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Two-level and hybrid ensembles of decision trees for high performance concrete compressive strength prediction
inferredcites →https://doi.org/10.1016/j.jeurceramsoc.2007.02.046openalex-extracted
Varistors based in the ZnO–Bi2O3 system: Microstructure control and properties
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A unique tuning effect of Mg on grain boundaries and grains of ZnO varistor ceramics
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Effects of pre-calcination and sintering temperature on the microstructure and electrical properties of ZnO-based varistor ceramics
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Scale-up of fluidized bed processes: Principle and practice
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The effect of sintering temperature variations on the development of electrically active interfaces in zinc oxide based varistors
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The characteristics of ZnO–Bi2O3-based varistor ceramics doped with Y2O3 and varying amounts of Sb2O3
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Deep learning for biology
inferredcites →https://doi.org/10.1063/1.328266openalex-extracted
Sintering and varistor characteristics of ZnO-Bi2O3 ceramics
inferredcites →https://doi.org/10.1088/1742-6596/326/1/012003openalex-extracted
Inversion boundary induced grain growth in ZnO ceramics: from atomic-scale investigations to microstructural engineering
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Nonparametric independence testing via mutual information
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Hybrid Ensemble of classifiers using voting
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Performance Comparison of Machine Learning Methods with Distinct Features to Estimate Battery SOC
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Applications for deep learning in ecology
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Development of Functional Microstructure during Sintering of a ZnO Varistor Material
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Manufacturing Process Modeling and Optimization Based on Multi-Layer Perceptron Network
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The Proof and Measurement of Association between Two Things
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Applications of Decision Tree and Random Forest as Tree-Based Machine Learning Techniques for Analyzing the Ultimate Strain of Spliced and Non-Spliced Reinforcement Bars
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Mitigating the Multicollinearity Problem and Its Machine Learning Approach: A Review
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