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Development of a two-stage ship fuel consumption prediction and reduction model for a dry bulk ship

Yan, Ran; Wang, Shuaian; Du, Yuquan - In: Transportation research / E : an international journal 138 (2020), pp. 1-22

Persistent link: https://www.econbiz.de/10012294932

A static bike repositioning model in a hub-and-spoke network framework

Huang, Di; Chen, Xinyuan; Liu, Zhiyuan; Lyu, Cheng; … - In: Transportation research / E : an international journal 141 (2020), pp. 1-21

Persistent link: https://www.econbiz.de/10012299616

An extended smart "predict, and optimize" (SPO) framework based on similar sets for ship inspection planning

Yan, Ran; Wang, Shuaian; Zhen, Lu - In: Transportation research / E : an international journal 173 (2023), pp. 1-19

Persistent link: https://www.econbiz.de/10014302207

Spatiotemporal correlation modelling for machine learning-based traffic state predictions : state-of-the-art and beyond

Cui, Haipeng; Meng, Qiang; Teng, Teck-Hou; Yang, Xiaobo - In: Transport reviews : a transnational transdisciplinary … 43 (2023) 4, pp. 780-804

Persistent link: https://www.econbiz.de/10014302632

A new PM2.5 concentration forecasting system based on AdaBoost-ensemble system with deep learning approach

Li, Zhongfei; Gan, Kai; Sun, Shaolong; Wang, Shouyang - In: Journal of forecasting 42 (2023) 1, pp. 154-175

Persistent link: https://www.econbiz.de/10013465774

Forecasting interval-valued crude oil prices using asymmetric interval models

Lu, Quanying; Sun, Yuying; Hong, Yongmiao; Wang, Shouyang - In: Quantitative finance 22 (2022) 11, pp. 2047-2061

Persistent link: https://www.econbiz.de/10013490921

Daily oil price shocks and their uncertainties

Wang, Shu - 2024

This paper presents a high-frequency structural VAR framework for identifying oil price shocks and examining their uncertainty transmission in the U.S. macroeconomy and financial markets. Leveraging the stylized features of financial data - specifically, volatility clustering effectively...

Persistent link: https://www.econbiz.de/10015143999

A confidence-based rbf neural network ensemble learning paradigm with application to delinquent prediction for credit risk management

Yu, Lean; Wang, Shouyang - In: Business intelligence in economic forecasting : …, (pp. 105-117). 2010

Persistent link: https://www.econbiz.de/10003994008

Analysis and forecasting of port logistics using TEII methodology

Tian, Xin; Xu, Lizhi; Liu, Liming; Wang, Shouyang - In: Business intelligence in economic forecasting : …, (pp. 248-264). 2010

Persistent link: https://www.econbiz.de/10003994086

Enterprise risk assessment and forecast : based on Chinese listed companies in 2009 - 2010

Shao, Jun; Wang, Shuangcheng; Liu, Yanping - In: Quantitative financial risk management, (pp. 201-216). 2011

Persistent link: https://www.econbiz.de/10009301421