Ziqiang Zeng is a Research Associate in Transportation Engineering at the University of Washington. He is the co-author of Fuzzy-Like Multiple Objective Multistage Decision Making (Springer, 2015) and author of peer-reviewed papers in journals such as IEEE Transactions on Fuzzy Systems, Computer-aided Civil and Infrastructure Engineering, Journal of Construction Engineering and Management-ASCE, Journal of Computing in Civil Engineering-ASCE, Applied Mathematical Modelling, Engineering Optimization. His research includes intelligent transportation systems, data-driven decision making, and transportation safety analysis.
3 résultat(s)
Télécharger le livre : Proceedings of the 2023 2nd International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2023)
Hui Nee Au Yong , Faruk Balli , Sikandar Ali Qalati , Ziqiang Zeng
Proceedings of the 2023 2nd International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2023)
This is an open access book.The relationship between international trade and economic development is mutual: foreign trade is the driving force of economic growth, and higher export level means that a country has the means to improve its import level. The growth of...
Editeur : Atlantis Press
Parution : 2023-10-10
Collection : Advances in Economics, Business and Management Research
Format(s) : PDF
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Télécharger le livre : Proceedings of the 2022 3rd International Conference on E-commerce and Internet Technology (ECIT 2022)
Vilas Gaikar , Reza Lotfi , Ziqiang Zeng
Proceedings of the 2022 3rd International Conference on E-commerce and Internet Technology (ECIT 2022)
This is an open access book.Due to recent pandemic, the 2022 3rd International Conference on E-commerce and Internet Technology (ECIT 2022) which was planned to be held in Zhangjiajie, China, was held virtually online during March 4- 6, 2022. The decision to hold the...
Editeur : Atlantis Press
Parution : 2022-11-09
Collection : Atlantis Highlights in Engineering
Format(s) : PDF, ePub
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Télécharger le livre : Data-Driven Solutions to Transportation Problems
Yinhai Wang , Ziqiang Zeng
Data-Driven Solutions to Transportation Problems
Data-Driven Solutions to Transportation Problems explores the fundamental principle of analyzing different types of transportation-related data using methodologies such as the data fusion model, the big data mining approach, computer vision-enabled traffic sensing data...
Editeur : Elsevier
Parution : 2018-12-04

Format(s) : epub sans DRM
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