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Dynamic Shannon entropy (DySEn): a novel method to detect the local anomalies of complex time series 期刊论文
NONLINEAR DYNAMICS, 2021, 卷号: 104, 期号: 4, 页码: 4007-4022
作者:  He JY(何佳毅);  Jinzhao Liu;  Pengjian Shang;  Yali Zhang
Adobe PDF(4275Kb)  |  收藏  |  浏览/下载：24/3  |  提交时间：2024/06/20
Adaptive model-based dynamic event-triggered output feedback control of a robotic manipulator with disturbance 期刊论文
ISATransactions, 2021, 页码: 64-78
作者:  Gao jie;  Kang Erlong;  He Wei;  Qiao hong
Adobe PDF(2719Kb)  |  收藏  |  浏览/下载：283/104  |  提交时间：2022/06/14
CenterNet3D: An Anchor Free Object Detector for Point Cloud 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 13
作者:  Wang, Guojun;  Wu, Jian;  Tian, Bin;  Teng, Siyu;  Chen, Long;  Cao, Dongpu
Adobe PDF(4101Kb)  |  收藏  |  浏览/下载：219/1  |  提交时间：2022/01/27
Three-dimensional displays  Feature extraction  Detectors  Object detection  Proposals  Laser radar  Heating systems  Point cloud  autonomous vehicles  deep learning  3D detection  anchor free  
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：332/66  |  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  
Deep Deterministic Policy Gradient for High-Speed Train Trajectory Optimization 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 13
作者:  Ning, Lingbin;  Zhou, Min;  Hou, Zhuopu;  Goverde, Rob M. P.;  Wang, Fei-Yue;  Dong, Hairong
收藏  |  浏览/下载：196/0  |  提交时间：2022/01/27
Rail transportation  Training  Heuristic algorithms  Resistance  Optimal control  Trajectory optimization  Switches  High-speed railway  train trajectory optimization  deep deterministic policy gradient  energy efficiency  
Parallel crop planning based on price forecast 期刊论文
INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, 2021, 期号: 1, 页码: 22
作者:  Fan, Menghan;  Kang, Mengzhen;  Wang, Xiujuan;  Hua, Jing;  He, Chaoxing;  Wang, Fei-Yue
Adobe PDF(2074Kb)  |  收藏  |  浏览/下载：313/66  |  提交时间：2021/12/28
agent-based modeling  crop planning  parallel agricultural management  price prediction  
An IVC-Based Nuclear Emergency Parallel Evacuation System 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 卷号: 8, 期号: 4, 页码: 844-855
作者:  Tan, Ke;  Yang, Linyao;  Liu, Xin;  Xu, Yancai;  Lin, Jiazhen;  Wang, Xiao;  Wang, Fei-Yue
Adobe PDF(2418Kb)  |  收藏  |  浏览/下载：290/44  |  提交时间：2021/11/02
Computational modeling  Planning  Optimization  Roads  Mathematical model  Collaboration  Power generation  ACP  intelligent vehicle collaborative system  nuclear evacuation  optimization  parallel intelligence  
A negotiation-based right-of-way assignment strategy to ensure traffic safety and efficiency in lane changes 期刊论文
IET INTELLIGENT TRANSPORT SYSTEMS, 2021, 页码: 14
作者:  Zhao, Can;  Li, Zhiheng;  Li, Li;  Wu, Xiangbin;  Wang, Fei-Yue
收藏  |  浏览/下载：178/0  |  提交时间：2021/11/02
Optimal Feedback Control of Pedestrian Flow in Heterogeneous Corridors 期刊论文
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING, 2021, 卷号: 18, 期号: 3, 页码: 1097-1108
作者:  Zhu, Yuanheng;  Zhao, Dongbin;  He, Haibo
Adobe PDF(2666Kb)  |  收藏  |  浏览/下载：221/10  |  提交时间：2021/08/15
Microscopy  Feedback control  Mathematical model  Data models  Dynamic programming  Psychology  Computational modeling  Adaptive dynamic programming (ADP)  heterogeneous corridors  macroscopic pedestrian dynamics  optimal feedback control  pedestrian flow  
MLRNN: Taxi Demand Prediction Based on Multi-Level Deep Learning and Regional Heterogeneity Analysis 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2021, 卷号: 0, 期号: 0, 页码: 0
作者:  Chizhan Zhang;  Fenghua Zhu;  Yisheng Lv;  Peijun Ye;  Feiyue Wang
Adobe PDF(4431Kb)  |  收藏  |  浏览/下载：247/59  |  提交时间：2021/06/16
Taxi demand prediction  taxi zone clustering  heterogeneity analysis  deep learning