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08/05/2021
PSTN: Periodic Spatial-temporal Deep Neural Network for Traffic Condition Prediction
Accurate forecasting of traffic conditions is critical for improving saf...
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08/05/2021
Automatic Detection of Rail Components via A Deep Convolutional Transformer Network
Automatic detection of rail track and its fasteners via using continuous...
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08/05/2021
Intelligent Railway Foreign Object Detection: A Semi-supervised Convolutional Autoencoder Based Method
Automated inspection and detection of foreign objects on railways is imp...
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07/28/2021
Multi-Graph Convolutional-Recurrent Neural Network (MGC-RNN) for Short-Term Forecasting of Transit Passenger Flow
Short-term forecasting of passenger flow is critical for transit managem...
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05/24/2019
Monitoring dynamic networks: a simulation-based strategy for comparing monitoring methods and a comparative study
Recently there has been a lot of interest in monitoring and identifying ...
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04/02/2019
An Adapted Geographically Weighted Lasso(Ada-GWL) model for estimating metro ridership
Ridership estimation at station level plays a critical role in metro tra...
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04/02/2019
Modeling and Analyzing Spatiotemporal Factors Influencing Metro Station Ridership in Taipei: An Approach based on General Estimating Equation
Modeling and analyzing metro station ridership is of great importance to...
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09/10/2018
Monitoring data quality for telehealth systems in the presence of missing data
Quality issue: All-in-one-station-based health monitoring devices are im...
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04/24/2018
Composite Inference for Gaussian Processes
Large-scale Gaussian process models are becoming increasingly important ...
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01/12/2018
Clinical and Non-clinical Effects on Surgery Duration: Statistical Modeling and Analysis
Surgery duration is usually used as an input to the operation room (OR) ...
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12/21/2017