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Prediction of jumbo drill penetration rate in underground mines using various machine learning approaches and traditional models
Comprehensive Review of the Impact of Thermodynamic Inhibitors and the Predictive Power of Machine Learning Models on Hydrate Formation Pressure and Temperature
Simulation of the Tensile Behaviour of Biaxial Knitted Fabrics Produced Based on Rib Structure Using a Macro Constitutive Model
Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models
Photocatalytic oxidative desulfurization of a model fuel using S-doped TiO2/BiVO4 composites: A combination of experimental and theoretical study
Mono-doped (X=S-2, Se-2, and Te-2) and co-doped (Zr4+-X)TiO2 monolayer nanosheet for water splitting: DFT modeling
Developing a New Model for Predicting Specific Energy (SE) for Economic and Environmental Optimization of the Diamond Wire Cutting Operation
A new empirical model for prediction of jumbo drills' penetration rate in underground mines based on the rock mass characteristics
Prediction of jumbo drill penetration rate in underground mines using various machine learning approaches and traditional models
Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models
Evaluating Environmental Predictors of Fish Community Composition in a Semi-Arid River System Using a Model-Based Approach
On the efficiency of the modified smooth joint model for simulating shear behavior of rock joints: A comprehensive experimental-numerical study
On the efficiency of the modified smooth joint model for simulating shear behavior of rock joints: A comprehensive experimental-numerical study
Designing, modeling, and multi-response optimization of Ni/Co-coated carbon fibers for electromagnetic shielding and electrothermal applications
Evaluating geometric measurement accuracy based on 3D model reconstruction of nursery tomato plants by Agisoft photoscan software