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Machine learning algorithms, bull genetic information, and imbalanced datasets used in abortion incidence prediction models for Iranian Holstein dairy cattle
Combined APSO-ANN and APSO-ANFIS models for prediction of pressure loss in air-water two-phase slug flow in a horizontal pipeline
Combined APSO-ANN and APSO-ANFIS models for prediction of pressure loss in air-water two-phase slug flow in a horizontal pipeline
Prediction of novel two-dimensional Dirac nodal line semimetals in Al<sub>2</sub>B<sub>2</sub> and AlB<sub>4</sub> monolayers
Prediction of novel two-dimensional Dirac nodal line semimetals in Al<sub>2</sub>B<sub>2</sub> and AlB<sub>4</sub> monolayers
Development of mathematical models for predicting crown and flatness in a four high hot rolling mills (Mobarakeh steel Complex). (With Dr. M Salimi) 1998
A new approach to improve neural networks algorithm in permeability prediction of petroleum reservoirs using supervised committee machine neural network (SCMNN)
Comparison of three methods ofANN ANFIS and Time Series Models to predict ground water levels. (Case study North Mahyar plain)
Design of Stabilizing Signals forpower system damping Using generalized Predictive Control Optimized by a New Hybrid Shuffled Frog Leaping Algorithm
spatial prediction of soil salinity in the arid zones using ASTER data Case study north of Agh ghala Golesatn Province Iran
Integrating proximal soil sensing data and environmental variables to enhance the prediction accuracy for soil salinity and sodicity in a region of Xinjiang Province, China
Integrating proximal soil sensing data and environmental variables to enhance the prediction accuracy for soil salinity and sodicity in a region of Xinjiang Province, China
Persian ISC Journal Papers
Reservoir Rock Properties
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