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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
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
Machine Learning Based Compressive Strength Prediction Model for CFRP-confined Columns
Effectiveness of an Immersive VR System for Construction Site Planning Education
Ensemble-based Deep Learning Approach for Performance Improvement of BIM Element Classification
Seismic Acceleration Estimation Method at Arbitrary Position Using Observations and Machine Learning
Using supervised machine learning algorithms in pavement degradation monitoring
Driver Maneuver Detection and Analysis Using Time Series Segmentation and Classification
A deep learning method for the prediction of 6-DoF ship motions in real conditions
Research on fault prediction of marine diesel engine based on attention-LSTM
Automatic clustering-based approach for train wheels condition monitoring
Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data
Covariate-Shift Generative Adversarial Network and Railway Track Image Analysis
Network-Scale Passenger Flow Forecasting Methods in URT Based on Similarity Measurement
The impact of the combination equilibrium of horizontal and sag-vertical curves on safety
Representative truck activity patterns from anonymous mobile sensor data
Short-Time Bus Route Passenger Flow Prediction Based on a Secondary Decomposition Integration Method
Multiagent Soft Actor–Critic for Traffic Light Timing
Inferring Trip Destination Purposes for Trip Records Collected through Smartphone Apps