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A Comparative Analysis of Machine Learning Models for Predicting Groundwater and Surface Water in a Stressed Semi-Arid Watershed: The Khanmirza Case Study
Predicting Rock Hardness Using Measurement While Drilling (MWD) Data in a Case Study of Rotary Drilling in an Open-Pit Mine
A comparative analysis of machine learning models for predicting groundwater and surface water in a stressed semi-arid watershed: The Khanmirza case study
Integrating proximal sensing data (soil spectra and magnetic susceptibility) with the common covariates to predict soil carbon pools in semiarid regions
Covariate selection approaches in spatial prediction of soil quality indices using machine learning models at the watershed scale, west of Iran
Enhancing the Predictive Performance of Molecularly Imprinted Polymer-Based Electrochemical Sensors Using a Stacking Regressor Ensemble of Machine Learning Models
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مقالات ISI
Mechanical and thermal properties of fiber-reinforced concrete incorporating shape-stabilized phase change materials: Evaluation of paraffin-silica fume and PEG-silica fume
A novel eco-friendly thermal-insulating high-performance geopolymer concrete containing calcium oxide-activated materials with waste tire and waste polyethylene terephthalate
A novel eco-friendly thermal-insulating high-performance geopolymer concrete containing calcium oxide-activated materials with waste tire and waste polyethylene terephthalate
Multi-objective optimization design of concrete outriggers based on Genetic-HookeJeeves algorithm: Reducing lateral deflection, differential axial shortening, and construction cost of the structure