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Evaluating geometric measurement accuracy based on 3D model reconstruction of nursery tomato plants by Agisoft photoscan software
Predicting soil chemical characteristics in the arid region of central Iran using remote sensing and machine learning models
Acoustical, thermal, and mechanical performance of Typha Latifolia fiber panels: Experimental evaluation and modeling for sustainable building applications
Comprehensive Review of the Impact of Thermodynamic Inhibitors and the Predictive Power of Machine Learning Models on Hydrate Formation Pressure and Temperature
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
Comprehensive Review of the Impact of Thermodynamic Inhibitors and the Predictive Power of Machine Learning Models on Hydrate Formation Pressure and Temperature
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
System Dynamics Modeling of the Relationships between Sustainable Supply Chain Management and Sustainable Development in Industrial Manufacturing Companies
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