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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
Data-Driven Method for Real-Time Reconstruction of the Structural Displacement Field
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
Disaster Risk Mapping from Aerial Imagery Using Deep Learning Techniques
The impacts of visual street environments on obesity: The mediating role of walking behaviors
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
How the built environment affects E-scooter sharing link flows: A machine learning approach
Adaptive Prescribed-Time Tracking Control of Spacecraft with Deferred Full-State Constraints