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Enhancing Hysteretic Behavior in Rubberized Reinforced Concrete Beams Through a Pre-Mixing Technique
Enhancing Hysteretic Behavior in Rubberized Reinforced Concrete Beams Through a Pre-Mixing Technique
Estimation of genetic and non-genetic effects on productive life of Iranian Holstein dairy cows
Empirical evaluation of prestressed EBROG FRP sheet-to-concrete joints
Empirical evaluation of prestressed EBROG FRP sheet-to-concrete joints
Shear thinning and self-healing behavior of an IPN nanocomposite based on gelatin methacryloyl/alginate/nano-clay for cartilage tissue engineering application
Shear thinning and self-healing behavior of an IPN nanocomposite based on gelatin methacryloyl/alginate/nano-clay for cartilage tissue engineering application
Fe3O4@nitrogen-doped carbon@Pd core-double shell nanotubes as a novel nanosorbent for ultrasonic assisted dispersive magnetic solid phase extraction of organophosphorus pesticides
Prediction of time-dependent bearing capacity of concrete pile in cohesive soil using optimized relevance vector machine and long short-term memory models
Comparison of the effect of Rosa damascena compost, animal manure, and chemical fertilizer on growth and biochemical characteristics of mint plant
Comparison of Infinite Fracture Model (IFM) and Discrete Fracture Network (DFN) for Estimating the Volume of In-Situ Blocks in Dimension Stone Mines with a Focus on UAV Photogrammetry
Early monitoring of drought stress in safflower (Carthamus tinctorius L.) using hyperspectral imaging: a comparison of machine learning tools and feature selection approaches
Early monitoring of drought stress in safflower (Carthamus tinctorius L.) using hyperspectral imaging: a comparison of machine learning tools and feature selection approaches
Early monitoring of drought stress in safflower (Carthamus tinctorius L.) using hyperspectral imaging: a comparison of machine learning tools and feature selection approaches
Early monitoring of drought stress in safflower (Carthamus tinctorius L.) using hyperspectral imaging: a comparison of machine learning tools and feature selection approaches