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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
An autoregressive logistic model to predict the reciprocal effects of oviductal fluid components on in vitro spermophagy by neutrophils in cattle
Prediction of permeability of realistic and virtual layered nonwovens using combined application of X-ray CT and computer simulation
Prediction of permeability of realistic and virtual layered nonwovens using combined application of X-ray CT and computer simulation
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
Channel Quality Prediction for TSCH Blacklisting in Highly Dynamic Networks: A Self-Supervised Deep Learning Approach
Predicting the Geomechanical Properties of Hard Rocks Using Analysis of the Acoustic and Vibration Signals During the Drilling Operation
Spatial Prediction of Soil Surface Properties in an Arid Region Using Synthetic Soil Image and Machine Learning
Predicting the impacts of climate change on the distribution of Juniperus excelsa M. Bieb. in the central and eastern Alborz Mountains, Iran
New Quantitative Predictability-Based Method of Risk Measurement to Make Profitable Investment Decisions in Financial Markets
New Quantitative Predictability-Based Method of Risk Measurement to Make Profitable Investment Decisions in Financial Markets
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
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