12 citations · 19 across the 8 of their papers we have counts for
6 papers · 1 filter
PSTN: Periodic Spatial-temporal Deep Neural Network for Traffic Condition Prediction
Tiange Wang, Zijun Zhang, Kwok-Leung Tsui
Accurate forecasting of traffic conditions is critical for improving safety, stability, and efficiency of a city transportation system. In reality, it is challenging to produce acc…
An Adapted Geographically Weighted Lasso(Ada-GWL) model for estimating metro ridership
Yuxin He, Yang Zhao, Kwok Leung Tsui
Ridership estimation at station level plays a critical role in metro transportation planning. Among various existing ridership estimation methods, direct demand model has been reco…
An Analysis of Factors Influencing Metro Station Ridership: Insights from Taipei Metro
Yuxin He, Yang Zhao, Kwok Leung Tsui
Travel demand analysis at the planning stage is important for metro system development. In practice, travel demand can be affected by various factors. This paper focuses on investi…
Monitoring data quality for telehealth systems in the presence of missing data
Tahir Mahmood, Philipp Wittenberg, Inez Maria Zwetsloot +2
Background: All-in-one station-based health monitoring devices are implemented in elder homes in Hong Kong to support the monitoring of vital signs of the elderly. During a pilot s…
Clinical and Non-clinical Effects on Surgery Duration: Statistical Modeling and Analysis
Jin Wang, Ph. D., Javier Cabrera +5
Surgery duration is usually used as an input to the operation room (OR) allocation and surgery scheduling problems. A good estimation of surgery duration benefits the operation pla…
Predicting Surgery Duration from a New Perspective: Evaluation from a Database on Thoracic Surgery
Jin Wang, Javier Cabrera, Kwok-Leung Tsui +3
BACKGROUND: Clinical factors influence surgery duration. This study also investigated non-clinical effects. METHODS: 22 months of data about thoracic operations in a large hospital…