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A Novel Feature Engineering Approach for Predicting Melt Pool Depth during LPBF by Machine Learning Models
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
Torsional strengthening of T-shaped RC members with FRP composites using EBROG method: Experimental investigation and analysis
Torsional strengthening of T-shaped RC members with FRP composites using EBROG method: Experimental investigation and analysis
Torsional strengthening of T-shaped RC members with FRP composites using EBROG method: Experimental investigation and analysis
Model-completeness and decidability of the additive structure of integers expanded with a function for a Beatty sequence
A new extended ?-shock model with the consideration of shock magnitude
Soil loss estimation using RUSLE model: Comparison of conventional and digital soil data at watershed scale in central Iran
Soil loss estimation using RUSLE model: Comparison of conventional and digital soil data at watershed scale in central Iran
Soil loss estimation using RUSLE model: Comparison of conventional and digital soil data at watershed scale in central Iran
Nitrate and ammonium removal in constructed wetlands: Experimental insights and zero-dimensional numerical modeling
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