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Using artificial neural network to predict degradation rates of pollutants in industrial wastewater with TiO2-based nanocomposites
Prediction of damage evolution in carbonate building stones subjected to simulated acid rain using M5P model
Using artificial neural network to predict degradation rates of pollutants in industrial wastewater with TiO2-based nanocomposites
Fault-tolerant model predictive sliding mode control for trajectory replanning of multi-UAV formation flight
Fault-tolerant model predictive sliding mode control for trajectory replanning of multi-UAV formation flight
A Novel Feature Engineering Approach for Predicting Melt Pool Depth during LPBF by Machine Learning Models
Prediction of damage evolution in carbonate building stones subjected to simulated acid rain using M5P model
Using artificial neural network to predict degradation rates of pollutants in industrial wastewater with TiO2-based nanocomposites
A Novel Feature Engineering Approach for Predicting Melt Pool Depth during LPBF by Machine Learning Models
A machine learning framework to lanthanide element distribution and predictability from the northwestern Iranian karst bauxite deposits
A target-based QSAR study on quinolizidinone carboxylic acids as muscarinic acetylcholine positive allosteric modulators using docking molecular dynamics simulation and least squares-support vector regression
Analysis and Implementation of a New Single Switch High Voltage Gain DC-DC Converter with a Wide CCM Operation Range and Reduced Components Voltage Stress
Optimization of Superimposed Residual Stress Components to Improve Fatigue Life of Work Roll in Hot Rolling Process Using Artificial Neural Network and Genetic Algorithm
The near- field method a modified equivalent linear method for dynamic soil structure interaction analysis. Part II verification and example application
Nonlinear Torque and Stator Flux Controller for Induction Motor Drive Based on Adaptive Input-output Feedback Linearization and Sliding Mode Control