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Comparison of six correlative models in predictive vegetation mapping on a local scale
PREDICTION OF EXTENSOGRAPH PROPERTIES OF WHEAT-FLOUR DOUGH ARTIFICIAL NEURAL NETWORKS AND A GENETIC ALGORITHM APPROACH
Prediction of Soil Enzymes Activity by Digital Terrain Analysis Comparing Artificial Neural Network and Multiple Linear Regression Models
Prediction of Soil Enzymes Activity by Digital Terrain Analysis Comparing Artificial Neural Network and Multiple Linear Regression Models
Application of a Bayesian Artificial Neural Network and the Reversible Jump Markov Chain Monte Carlo Method to predict the grain size of hot strip low carbon steels
An intelligent model to predict breaking strength of rotor spun yarns using gene expression programming
Design of Stabilizing Signals forpower system damping Using generalized Predictive Control Optimized by a New Hybrid Shuffled Frog Leaping Algorithm
Image Inpainting Using AutoEncoder and Guided Selection of Predicted Pixels
Image Inpainting Using AutoEncoder and Guided Selection of Predicted Pixels
Effect of Groove Depth on Behavior of CFRP Sheets Bonded to Heat-Damaged Concrete by Using EBROG Method
Effect of the Groove Depth on Behavior of Pre-stressed CFRP Strips Bonded to Concrete by Using EBROG Method
Alkali-activated slag concrete pavement with recycled asphalt aggregates
The effect of fatigue loading on the behavior of externally bonded CFRP-to-concrete joints using the grooving method
Prediction of solubility for polycyclic aromatic hydrocarbons in supercritical carbon dioxide using wavelet neural networks in quantitative structure property relationship
Prediction of the small-k behavior of the structure factor (S(k)) for Rubidium and Cesium via a new model for the Direct correlation function and evaluation of some reported effective pair potentials