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Large-Scale Freeway Traffic Flow Estimation Using Crowdsourced Data: A Case Study in Arizona
SHapley Additive exPlanations for Explaining Artificial Neural Network Based Mode Choice Models
Small-amplitude bogie hunting identification method for high-speed trains based on machine learning
Friction-adaptive stochastic nonlinear model predictive control for autonomous vehicles
Deep learning-assisted near-Earth asteroid tracking in astronomical images
A state-of-the-art survey of deep learning models for automated pavement crack segmentation
Identification of optimal locations of adaptive traffic signal control using heuristic methods
Enhancing Vibration-based Damage Assessment with 1D-CNN: Parametric Studies and Field Applications