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PREDICTION OF EXTENSOGRAPH PROPERTIES OF WHEAT-FLOUR DOUGH ARTIFICIAL NEURAL NETWORKS AND A GENETIC ALGORITHM APPROACH
An intelligent model to predict breaking strength of rotor spun yarns using gene expression programming
Predicting Foaming Slag Quality in Electric Arc Furnace Using Power Quality Indices and ANFIS
Remote monitoring of sliding force for prediction of landslide and slope stability assessment in open pit mine
Prediction of strip temperature on the run out table of a hot strip mill using a neural network
Optimized Current Control of Vienna Rectifier Using Finite Control Set Model Predictive Control
Predictive modeling of bond strength and failure strain in FRP-to-concrete joints considering groove classification
Machine Learning Approaches for the Prediction of Displaced Abomasum in Dairy Cows Using a Highly Imbalanced Dataset
Slope stability prediction of circular mode failure by machine learning models based on Bayesian Optimizer
Development of ABAQUS Plugin Predicting the Mechanical Behavior and Failure Modes of Weft Knitted-Reinforced Composites
Evaluating SCAN and r2SCAN meta-GGA functionals for predicting transition temperatures in antiferromagnetic materials
Neural network design for data-driven prediction of target geometry for an aerodynamic inverse design algorithm
Data-driven prediction of ultimate tensile strength in low alloy steel: A machine learning approach
Predicting Soil Carbon Pools in Central Iran Using Random Forest: Drivers and Uncertainty Analysis
Predictive modeling of bond strength and failure strain in FRP-to-concrete joints considering groove classification