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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
Enhancing the Mechanical Properties of Transient-Liquid-Phase Bonded Inconel 617 to Stainless Steel 310 through Altering Process Parameters and Homogenisation
Improving fuel efficiency and durability in fuel cell vehicles through component sizing and power distribution management
Statistical modeling of polyester filament yarn evenness with respect to some melt spinning parameters
Statistical modeling of polyester filament yarn evenness with respect to some melt spinning parameters
Machine learning-driven scenario-based models for predicting desert dust sources in central playas of Iran
Metabolic and Transcriptomic Approaches of Chitosan and Water Stress on Polyphenolic Terpenoid Components and Gene Expression in Salvia abrotanoides (Karl.) and S. yangii
Metabolic and Transcriptomic Approaches of Chitosan and Water Stress on Polyphenolic Terpenoid Components and Gene Expression in Salvia abrotanoides (Karl.) and S. yangii
Benchmarking density functional theory on the prediction of antiferromagnetic transition temperatures
Development of empirical models to predict stope wall stability in open stope mines using gene-expression programming
Effects of corn processing index and forage source on performance, blood parameters, and ruminal fermentation of dairy calves
A novel energetic approach for predicting fatigue crack growth in pseudoelastic NiTi alloys
Availability analysis and cost optimization of a repairable system with a mix of active and warm-standby components in a shock environment