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Parallel Transportation in TransVerse: From Foundation Models to DeCAST 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2023, 卷号: 24, 期号: 12, 页码: 15310-15327
作者:  Zhao, Chen;  Wang, Xiao;  Lv, Yisheng;  Tian, Yonglin;  Lin, Yilun;  Wang, Fei-Yue
Adobe PDF(4139Kb)  |  收藏  |  浏览/下载：157/4  |  提交时间：2023/11/16
Intelligent Transportation Systems (ITS)  Cyber-Physical-Social Systems (CPSS)  Artificial Systems, Computational Experiments, Parallel Execution (ACP)  Decentralized/Distributed Autonomous Operations and Organizations (DAO)  
Data Augmented Deep Behavioral Cloning for Urban Traffic Control Operations Under a Parallel Learning Framework 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 卷号: 23, 期号: 6, 页码: 5128-5137
作者:  Li, Xiaoshuang;  Ye, Peijun;  Jin, Junchen;  Zhu, Fenghua;  Wang, Fei-Yue
Adobe PDF(2319Kb)  |  收藏  |  浏览/下载：316/63  |  提交时间：2022/01/27
Generative adversarial networks  Data models  Gallium nitride  Task analysis  Complex systems  Intelligent traffic signal operations  deep behavioral cloning  
Joint image-to-image translation with denoising using enhanced generative adversarial networks 期刊论文
SIGNAL PROCESSING-IMAGE COMMUNICATION, 2021, 卷号: 91, 页码: 9
作者:  Yan, Lan;  Zheng, Wenbo;  Wang, Fei-Yue;  Gou, Chao
Adobe PDF(4437Kb)  |  收藏  |  浏览/下载：307/47  |  提交时间：2021/03/01
Image-to-image translation  Generative adversarial networks  Image enhancement  Image denoising  
Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 21, 期号: 10, 页码: 4063 - 4071
作者:  Fenghua Zhu;  Yisheng Lv;  Yuanyuan Chen;  Xiao Wang;  Gang Xiong;  Fei-Yue Wang
浏览  |  Adobe PDF(2879Kb)  |  收藏  |  浏览/下载：457/230  |  提交时间：2020/10/15
Intelligent transportation systems  
What are the differences in yield formation among two cucumber (Cucumis sativus L.) cultivars and their F-1 hybrid? 期刊论文
JOURNAL OF INTEGRATIVE AGRICULTURE, 2020, 卷号: 19, 期号: 7, 页码: 1789-1801
作者:  Wang Xiu-juan;  Kang Meng-zhen;  Fan Xing-rong;  Yang Li-le;  Zhang Bao-gui;  Huang San-wen;  De Reffye, Philippe;  Wang Fei-yue
浏览  |  Adobe PDF(4508Kb)  |  收藏  |  浏览/下载：339/68  |  提交时间：2020/07/20
cucumber  biomass production  functional-structural plant model  source-sink ratio  fruit-setting  PSO  heterosis  
What are the differences in yield formation among two cucumber (Cucumis sativus L.) cultivars and their F-1 hybrid? 期刊论文
JOURNAL OF INTEGRATIVE AGRICULTURE, 2020, 卷号: 19, 期号: 7, 页码: 1789-1801
作者:  Wang Xiu-juan;  Kang Meng-zhen;  Fan Xing-rong;  Yang Li-le;  Zhang Bao-gui;  Huang San-wen;  De Reffye, Philippe;  Wang Fei-yue
收藏  |  浏览/下载：287/0  |  提交时间：2020/07/20
cucumber  biomass production  functional-structural plant model  source-sink ratio  fruit-setting  PSO  heterosis  
DeepTrend 2.0: A light-weighted multi-scale traffic prediction model using detrending 期刊论文
TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2019, 卷号: 103, 页码: 142-157
作者:  Dai, Xingyuan;  Fu, Rui;  Zhao, Enmin;  Zhang, Zuo;  Lin, Yilun;  Wang, Fei-Yue;  Li, Li
Adobe PDF(5109Kb)  |  收藏  |  浏览/下载：342/30  |  提交时间：2019/09/30
Traffic prediction  Deep learning  Detrending  Multi-scale traffic prediction  
Managing Traditional Solar Greenhouse With CPSS: A Just-for-Fit Philosophy 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2018, 卷号: 48, 期号: 12, 页码: 3371-3380
作者:  Kang, Mengzhen;  Fan, Xing-Rong;  Hua, Jing;  Wang, Haoyu;  Wang, Xiujuan;  Wang, Fei-Yue
浏览  |  Adobe PDF(1485Kb)  |  收藏  |  浏览/下载：566/98  |  提交时间：2019/01/08
Big data  cropping plan  greenhouse management  Internet of Things (IoT)  modeling plant development and growth  nonlinear programming  smart agriculture  solar greenhouse  tomato  
A hierarchical framework for ad inventory allocation in programmatic advertising markets 期刊论文
ELECTRONIC COMMERCE RESEARCH AND APPLICATIONS, 2018, 卷号: 31, 页码: 40-51
作者:  Juanjuan Li;  Xiaochun Ni;  Yong Yuan;  Fei-Yue Wang
浏览  |  Adobe PDF(1018Kb)  |  收藏  |  浏览/下载：458/175  |  提交时间：2018/09/20
Programmatic advertising  Ad inventory  Real-time bidding  Private marketplace  Header bidding