Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Zihan Hong"'
Publikováno v:
Heritage Science, Vol 12, Iss 1, Pp 1-19 (2024)
Abstract The spatiotemporal distribution of intangible cultural heritage in Fujian Province, China, and the factors that influence it were explored using multiple spatial scales. The samples include five batches of Chinese national-level and six batc
Externí odkaz:
https://doaj.org/article/7f48265f7f4e42159cc2d91f9e4c3c8a
Publikováno v:
SAGE Open, Vol 13 (2023)
Digital transformation (DT) is a long-term strategy for economic sustainability, particularly for manufacturing-oriented economies. This study proposes a digital ESG (DESG) theoretical framework to investigate how DT empowers ESG performance in the m
Externí odkaz:
https://doaj.org/article/9f9f9e8522ef42359da7f93857e7cfa4
Dissertation/ Thesis
Autor:
Zihan Hong (14212145)
Spotted-wing Drosophila (SWD), Drosophila suzukii (Matsumura), is an economically-important pest of small fruits worldwide. Currently, timing of management is based on morphological identification of adult flies captured in baited monitoring traps; h
Publikováno v:
2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC).
Ensemble learning is a supervised classification algorithm in the field of machine learning and artificial intelligence. Its main idea is to combine the weak classifiers into strong classifiers according to a certain strategy, so that ensemble learni
Publikováno v:
Transportation Research Part A: Policy and Practice. 115:71-89
This paper proposes a hybrid approach to model usage at public bikeshare system (PBS) stations. The proposed Cluster Stations and Regress (CSR) modeling approach involves first clustering PBS stations based on the types of trips they attract using k-
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2672:13-24
Dynamic speed limits (DSLs) are used to improve safety and mobility on freeways in unfavorable traffic conditions due to recurring congestion, roadworks, incidents, or adverse weather. The evaluation of in-field deployment reveals that the effectiven
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 19:2548-2557
This paper presents a spatio-temporal trajectory clustering method for vehicle trajectories in transportation networks to identify heterogeneous trip patterns and explore underlying network assignment mechanisms. The proposed algorithm ST-TOPOSCAN is
Publikováno v:
Transportation Research Part C: Emerging Technologies. 85:573-590
This paper illustrates a ride matching method for commuting trips based on clustering trajectories, and a modeling and simulation framework with ride-sharing behaviors to illustrate its potential impact. It proposes data mining solutions to reduce tr
Autor:
Ying Chen, Roemer M. Alfelor, Archak Mittal, Zihan Hong, Hooram Halat, Xiang Xu, Hani S. Mahmassani
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2667:71-87
This paper presents the development, implementation, and evaluation of predictive active transportation and demand management (ATDM) and weather-responsive traffic management (WRTM) strategies to support operations for weather-affected traffic condit
Publikováno v:
Accident; analysis and prevention. 139
As part of the emerging world of intelligent transportation, there is considerable interest in developing connected vehicles that are more capable of identifying and guiding individual drivers’ behavior than collecting mileage as a moving cart. The