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Optimized pervious alkali-activated slag concrete for heavy metal adsorption and ecological risk reduction in LID applications
prediction of sound absorption of nonwoven fabrics using X-ray micro-computed tomography and miki model
Predicting impacts of climate change on the potential distribution of two interacting species in the forests of western Iran
Prediction of soil wind erodibility using a hybrid Genetic algorithm-Artificial neural network method
A Hybrid Dynamic Wavelet-Based Modeling Method for Blood Glucose Concentration Prediction in Type 1 Diabetes
Prey availability modulates predicted range contraction of two large felids in response to changing climate
A Geometrically exact model for predicting statics and snap-through behaviors of bi-stable composite laminates
A Geometrically exact model for predicting statics and snap-through behaviors of bi-stable composite laminates
A component sizing prediction study for a series hybrid electric vehicle based on artificial neural network
Data-Driven Support Vector Machine to Predict Thin-Walled Tube Energy Absorbers Behavior
Predicting Pedestrian Intentions in Self-Driving Cars: Leveraging Non-Visual Features and Semantic Mapping
Predicting Pedestrian Intentions in Self-Driving Cars: Leveraging Non-Visual Features and Semantic Mapping
Measurement, prediction, and modeling of the drilling specific energy by soft rock properties during the drilling operation
Pressure gradient prediction for different metallic foams using a combination of CFD and Machine Learning methods
Predicting heavy metal contents by applying machine learning approaches and environmental covariates in west of Iran