Forecasting the demand of the aviation industry using hybrid time series SARIMA-SVR approach S Xu, HK Chan, T Zhang Transportation Research Part E: Logistics and Transportation Review 122, 169-180, 2019 | 195 | 2019 |
A comparison of time series methods for forecasting container throughput HK Chan, S Xu, X Qi International journal of logistics research and applications 22 (3), 294-303, 2019 | 71 | 2019 |
Forecasting medical device demand with online search queries: a big data and machine learning approach S Xu, HK Chan Procedia Manufacturing 39, 32-39, 2019 | 34 | 2019 |
Enhancing hotel knowledge management: the influencing factors of online hotel reviews on travellers’ booking intention Y Xia, HK Chan, L Zhong, S Xu Knowledge Management Research & Practice, 2021 | 22 | 2021 |
A comparison of forecasting methods for medical device demand using trend-based clustering scheme S Xu, HK Chan, E Ch’ng, KH Tan Journal of Data, Information and Management 2, 85–94, 2020 | 12 | 2020 |
Comparison of Different Approaches of Machine Learning Methods with Conventional Approaches on Container Throughput Forecasting S Xu, S Zou, J Huang, W Yang, F Zeng Applied Sciences 12 (19), 9730, 2022 | 9 | 2022 |
Intelligent Port Data Management Systems to improve capability HK Chan, S Xu 2017 International Conference on Service Systems and Service Management …, 2017 | 7 | 2017 |
Data-driven inventory management in the healthcare supply chain S Xu, KH Tan Supply Chain and Logistics Management: Concepts, Methodologies, Tools, and …, 2020 | 6 | 2020 |
A hybrid container throughput forecasting approach using bi-directional hinterland data of port F Zeng, S Xu Scientific Reports 14 (1), 25502, 2024 | | 2024 |
A Novel Seasonal Decomposition-Ensemble Model for Forecasting Smart Mobility Demand S Xu, F Zeng Available at SSRN 4941095, 0 | | |
Dtgcn: A Dynamic Temporal Graph Convolutional Network for Container Throughput Forecasting S Xu, F Zeng Available at SSRN 4862036, 0 | | |