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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
Data-Driven Prediction of Janus/Core-Shell Morphology in Polymer Particles: A Machine-Learning Approach
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 monarch butterfly optimization-based neural network simulator for prediction of siro-spun yarn tenacity
Pedotransfer functions for predicting heavy metals in natural soils using magnetic measures and soil properties
Predicting the wear coefficient and friction coefficient in dry point contact using continuum damage mechanics
Transcriptome analysis of Arabidopsis to predict stress length-specific regulatory networks involved in drought response
Prediction of Psychoacoustic Metrics Using Combination of Wavelet Packet Transform and an Optimized Artificial Neural Network