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Slope stability prediction of circular mode failure by machine learning models based on Bayesian Optimizer
Machine Learning Approaches for the Prediction of Displaced Abomasum in Dairy Cows Using a Highly Imbalanced Dataset
Predictive modeling of bond strength and failure strain in FRP-to-concrete joints considering groove classification
Neural network design for data-driven prediction of target geometry for an aerodynamic inverse design algorithm
prediction of sound absorption of nonwoven fabrics using X-ray micro-computed tomography and miki model
Predictive modeling of bond strength and failure strain in FRP-to-concrete joints considering groove classification
Predicting Soil Carbon Pools in Central Iran Using Random Forest: Drivers and Uncertainty Analysis
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
Data-driven prediction of ultimate tensile strength in low alloy steel: A machine learning approach
Predicting impacts of climate change on the potential distribution of two interacting species in the forests of western Iran
Prediction of soil wind erodibility using a hybrid Genetic algorithm-Artificial neural network method
A Hybrid Dynamic Wavelet-Based Modeling Method for Blood Glucose Concentration Prediction in Type 1 Diabetes
Prey availability modulates predicted range contraction of two large felids in response to changing climate
A Geometrically exact model for predicting statics and snap-through behaviors of bi-stable composite laminates