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A Novel Feature Engineering Approach for Predicting Melt Pool Depth during LPBF by Machine Learning Models
Effective mechanisms responsible for increased strength and fracture strain of carbon fiber-reinforced plastic/steel hybrid laminates
Effective mechanisms responsible for increased strength and fracture strain of carbon fiber-reinforced plastic/steel hybrid laminates
Neural network design for data-driven prediction of target geometry for an aerodynamic inverse design algorithm
Machine learning-based soil aggregation assessment under four scenarios in northwestern Iran
Machine learning-based soil aggregation assessment under four scenarios in northwestern Iran
Real-Time Prediction of Disc Cutter Wear in Low-Abrasive Rocks: Integrating Physico-Mechanical Properties and Signal Processing Features Through Machine Learning Methods
Real-Time Prediction of Disc Cutter Wear in Low-Abrasive Rocks: Integrating Physico-Mechanical Properties and Signal Processing Features Through Machine Learning Methods
Characterization of Microstructure-Mechanical Properties Relationship in Dissimilar Resistance Spot Welding of the Advanced High-Strength Steel DP590 Steel to the Interstitial-Free Steel DC 06: EBSD Study
Effects of different washing and precipitating solutions on sugar content, cytotoxicity, chemical structure and prebiotic potential of pistachio hull polysaccharide
Mechanical and microstructural properties of biogenic CaCO3 deposition (MICP) on a specific volcanic sediment (unwelded Tuffs) by Bacillus pasteurii and Bacillus subtilis
Mechanical and microstructural properties of biogenic CaCO3 deposition (MICP) on a specific volcanic sediment (unwelded Tuffs) by Bacillus pasteurii and Bacillus subtilis
Evaluation of rock cutting performance of conical cutting tool based on commonly measured rock properties
Evaluation of underground hard rock mine pillar stability using gene expression programming and decision tree-support vector machine models
Estimation of foam (surfactant) consumption in earth pressure balance tunnel boring machine using statistical and soft-computing methods