English | 繁體

Search in the results

UM

Browse/Search Results:  1-9 of 9 Help

Selected(0)Clear Items/Page:    Sort:
Deep learning model for solar and wind energy forecasting considering Northwest China as an example Journal article
Li, Pengyu, Yang, Huiyu, Wu, Han, Wang, Yujia, Su, Hao, Zheng, Tianlong, Zhu, Fang, Zhang, Guangtao, Han, Yu. Deep learning model for solar and wind energy forecasting considering Northwest China as an example[J]. Results in Engineering, 2024, 24, 102939.
Authors:  Li, Pengyu;  Yang, Huiyu;  Wu, Han;  Wang, Yujia;  Su, Hao; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:6.0/5.6 | Submit date：2024/10/10
Attention-based Spatial-temporal Graph Neural Network  Deep Learning  Long Short-term Memory  Solar Energy  Wind Energy  
Multi-level traffic-responsive tilt camera surveillance through predictive correlated online learning Journal article
Li, Tao, Bian, Zilin, Lei, Haozhe, Zuo, Fan, Yang, Ya Ting, Zhu, Quanyan, Li, Zhenning, Ozbay, Kaan. Multi-level traffic-responsive tilt camera surveillance through predictive correlated online learning[J]. TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2024, 167, 104804.
Authors:  Li, Tao;  Bian, Zilin;  Lei, Haozhe;  Zuo, Fan;  Yang, Ya Ting; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.6/9.6 | Submit date：2024/09/03
Real-time Traffic Surveillance  Online Learning Control  Spatial–temporal Forecasting  Traffic State Estimation  Dynamic Route Planning  
Weakly Supervised Monocular 3D Object Detection by Spatial-Temporal View Consistency Journal article
Han, Wencheng, Tao, Runzhou, Ling, Haibin, Shen, Jianbing. Weakly Supervised Monocular 3D Object Detection by Spatial-Temporal View Consistency[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024.
Authors:  Han, Wencheng;  Tao, Runzhou;  Ling, Haibin;  Shen, Jianbing
Favorite | TC[Scopus]:0  IF:20.8/22.2 | Submit date：2024/10/10
Monocular 3d Object Detection  Production Cars Data  Spatial-temporal Consistency  Weakly Supervised Learning  
FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic Prediction Conference paper
Yang, Linghua, Chen, Wantong, He, Xiaoxi, Wei, Shuyue, Xu, Yi, Zhou, Zimu, Tong, Yongxin. FedGTP: Exploiting Inter-Client Spatial Dependency in Federated Graph-based Traffic Prediction[C], New York, NY, USA:Association for Computing Machinery, 2024, 6105–6116.
Authors:  Yang, Linghua;  Chen, Wantong;  He, Xiaoxi;  Wei, Shuyue;  Xu, Yi; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/09/11
Federated Learning  Traffic Prediction  Spatial-temporal Graph Neural Network  
A novel model for tourism demand forecasting with spatial–temporal feature enhancement and image-driven method Journal article
Dong, Yunxuan, Zhou, Binggui, Yang, Guanghua, Hou, Fen, Hu, Zheng, Ma, Shaodan. A novel model for tourism demand forecasting with spatial–temporal feature enhancement and image-driven method[J]. NEUROCOMPUTING, 2023, 556, 126663.
Authors:  Dong, Yunxuan;  Zhou, Binggui;  Yang, Guanghua;  Hou, Fen;  Hu, Zheng; et al.
Favorite | TC[WOS]:4 TC[Scopus]:5  IF:5.5/5.5 | Submit date：2023/08/30
Deep Learning  Feature Enhancement  Spatial Series To Image Series  Spatial–temporal Learning  Tourism Demand Forecasting  
A graph-attention based spatial-temporal learning framework for tourism demand forecasting Journal article
Zhou, Binggui, Dong, Yunxuan, Yang, Guanghua, Hou, Fen, Hu, Zheng, Xu, Suxiu, Ma, Shaodan. A graph-attention based spatial-temporal learning framework for tourism demand forecasting[J]. Knowledge-Based Systems, 2023, 263, 110275.
Authors:  Zhou, Binggui;  Dong, Yunxuan;  Yang, Guanghua;  Hou, Fen;  Hu, Zheng; et al.
Favorite | TC[WOS]:6 TC[Scopus]:8  IF:7.2/7.4 | Submit date：2023/04/03
Tourism Demand Forecasting  Dynamic Spatial Connections  Spatial-temporal Learning  Graph Neural Network  Attention Mechanism  
A novel probabilistic framework with interpretability for generator coherency identification Journal article
Liu, Fengrui, Yin, Yikun, Li, Baitong. A novel probabilistic framework with interpretability for generator coherency identification[J]. INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2022, 143, 108474.
Authors:  Liu, Fengrui;  Yin, Yikun;  Li, Baitong
Favorite | TC[WOS]:1 TC[Scopus]:5  IF:5.0/4.6 | Submit date：2022/08/02
Generator Coherency Identification  Interpretability  Multi-task Learning  Spatial–temporal Auto-encoder  Wide-area Measurement  
A Spatial-temporal Model for Tourism Demand Forecasting Conference paper
Dong, Yunxuan, Zhou, Binggui, Yang, Guanghua, Hou, Fen, Ma, Shaodan. A Spatial-temporal Model for Tourism Demand Forecasting[C], 2022, 1810-1814.
Authors:  Dong, Yunxuan;  Zhou, Binggui;  Yang, Guanghua;  Hou, Fen;  Ma, Shaodan
Favorite | TC[Scopus]:0 | Submit date：2022/08/05
Fully Connected Long Short Term Memory  Spatial-temporal Learning  Tourism Demand Forecasting  
Temporal Pyramid Network with Spatial-Temporal Attention for Pedestrian Trajectory Prediction Journal article
Li, Yuanman, Liang, Rongqin, Wei, Wei, Wang, Wei, Zhou, Jiantao, Li, Xia. Temporal Pyramid Network with Spatial-Temporal Attention for Pedestrian Trajectory Prediction[J]. IEEE Transactions on Network Science and Engineering, 2021, 9(3), 1006-1019.
Authors:  Li, Yuanman;  Liang, Rongqin;  Wei, Wei;  Wang, Wei;  Zhou, Jiantao; et al.
Favorite | TC[WOS]:29 TC[Scopus]:34  IF:6.7/6.0 | Submit date：2022/05/13
Deep Learning  Prediction Algorithms  Predictive Models  Social Behavior  Social Computing  Social Interactions  Spatial-temporal Attention  Temporal Pyramid Network  Trajectory Prediction