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New Quantitative Predictability-Based Method of Risk Measurement to Make Profitable Investment Decisions in Financial Markets
Predicting the Geomechanical Properties of Hard Rocks Using Analysis of the Acoustic and Vibration Signals During the Drilling Operation
Deep-neural network approaches for predicting 3D dose distribution in intensity-modulated radiotherapy of the brain tumors
Machine learning-driven scenario-based models for predicting desert dust sources in central playas of Iran
Statistical analysis of the performance of a variety of first-principles schemes for accurate prediction of binary semiconductor band gaps
Predicting the drop size distribution of poly(vinyl chloride) microsuspension in a double-stage high-pressure homogenizer
A Support Vector Based Hybrid Forecasting Model for Chaotic Time Series: Spare Part Consumption Prediction
Motivation, Engagement, Strategy Use, and L2 Reading Proficiency in Iranian EFL Learners: An Investigation of Relations and Predictability
Channel Quality Prediction for TSCH Blacklisting in Highly Dynamic Networks: A Self-Supervised Deep Learning Approach
Spatial Prediction of Soil Surface Properties in an Arid Region Using Synthetic Soil Image and Machine Learning
Predicting the Sound Absorption of Nonwoven Layers Produced From Estabrgah Fibers Using Central Composite Design
Comparing the efficiency of digital and conventional soil mapping to predict soil types in a semi-arid region in Iran
Recognition of polymer-particle interfacial morphology in mixed matrix membranes through ideal permeation predictive models
Recognition of polymer-particle interfacial morphology in mixed matrix membranes through ideal permeation predictive models
Prediction of permeability of realistic and virtual layered nonwovens using combined application of X-ray CT and computer simulation