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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
Integrating proximal soil sensing data and environmental variables to enhance the prediction accuracy for soil salinity and sodicity in a region of Xinjiang Province, China
Integrating proximal soil sensing data and environmental variables to enhance the prediction accuracy for soil salinity and sodicity in a region of Xinjiang Province, China
Neural network design for data-driven prediction of target geometry for an aerodynamic inverse design algorithm
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
An Intelligent Approach to Predict the Squeezing Severity and Tunnel Deformation in Squeezing Grounds
Process-Induced Microstructural Variations in Laser Powder Bed Fusion of Novel Titanium Alloys: A Comprehensive Study on Volumetric Energy Density and Alloying Effects
Cardinium symbionts are pervasive in Iranian populations of the spider mite Panonychus ulmi despite inducing an infection cost and no demonstrable reproductive phenotypes when Wolbachia is a symbiotic partner
Cardinium symbionts are pervasive in Iranian populations of the spider mite Panonychus ulmi despite inducing an infection cost and no demonstrable reproductive phenotypes when Wolbachia is a symbiotic partner
Specific up-regulation of transcription factors in the fungus Parastagonospora nodorum suggests a role in pathogenicity on wheat
Specific up-regulation of transcription factors in the fungus Parastagonospora nodorum suggests a role in pathogenicity on wheat
Specific up-regulation of transcription factors in the fungus Parastagonospora nodorum suggests a role in pathogenicity on wheat
Machine learning-driven scenario-based models for predicting desert dust sources in central playas of Iran