English | 繁體

Search in the results

UM

Browse/Search Results:  1-10 of 40 Help

Selected(0)Clear Items/Page:    Sort:
Streaming variational inference-empowered Bayesian nonparametric clustering for online structural damage detection with transmissibility function Journal article
Mei, Ling Feng, Yan, Wang Ji, Yuen, Ka Veng, Beer, Michael. Streaming variational inference-empowered Bayesian nonparametric clustering for online structural damage detection with transmissibility function[J]. Mechanical Systems and Signal Processing, 2024, 222.
Authors:  Mei, Ling Feng;  Yan, Wang Ji;  Yuen, Ka Veng;  Beer, Michael
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:7.9/8.0 | Submit date：2024/08/30
Bayesian Nonparametric Model  Damage Detection  Streaming Variational Inference  Truncation-free Full Dirichlet Process Gaussian Mixture Model  
A hierarchical Bayesian modeling framework for identification of Non-Gaussian processes Journal article
Ping, Menghao, Jia, Xinyu, Papadimitriou, Costas, Han, Xu, Jiang, Chao, Yan, Wang Ji. A hierarchical Bayesian modeling framework for identification of Non-Gaussian processes[J]. Mechanical Systems and Signal Processing, 2024, 208, 110968.
Authors:  Ping, Menghao;  Jia, Xinyu;  Papadimitriou, Costas;  Han, Xu;  Jiang, Chao; et al.
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:7.9/8.0 | Submit date：2024/02/22
Hierarchical Bayesian Modeling Framework  Improved Orthogonal Series Expansion  Model Class Selection  Non-gaussian Pdf Estimation  Non-gaussian Process  Polynomial Chaos Expansion  
A hierarchical Bayesian framework embedded with an improved orthogonal series expansion for Gaussian processes and fields identification Journal article
Ping, Menghao, Jia, Xinyu, Papadimitriou, Costas, Han, Xu, Jiang, Chao, Yan, Wangji. A hierarchical Bayesian framework embedded with an improved orthogonal series expansion for Gaussian processes and fields identification[J]. Mechanical Systems and Signal Processing, 2023, 187, 109933.
Authors:  Ping, Menghao;  Jia, Xinyu;  Papadimitriou, Costas;  Han, Xu;  Jiang, Chao; et al.
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:7.9/8.0 | Submit date：2023/04/03
Hierarchical Bayesian Framework  Gaussian Processes Or Fields  Improved Orthogonal Series Expansion  Model Class Selection  Structural Dynamics  
Globally Optimal Robust Radar Calibration in Intelligent Transportation Systems Journal article
Xinyi Li, Yinlong Liu, Venkatnarayanan Lakshminarasimhan, Hu Cao, Feihu Zhang, Alois Knoll. Globally Optimal Robust Radar Calibration in Intelligent Transportation Systems[J]. IEEE Transactions on Intelligent Transportation Systems, 2023, 24(6), 6082-6095.
Authors:  Xinyi Li;  Yinlong Liu;  Venkatnarayanan Lakshminarasimhan;  Hu Cao;  Feihu Zhang; et al.
Favorite | TC[WOS]:2 TC[Scopus]:6  IF:7.9/8.3 | Submit date：2023/07/27
Branch And Bound  Gaussian Mixture Model  Globally Optimal  Intelligent Transportation System  Targetless Calibration  Traffic Radar  
A Fully Interpretable First-order TSK Fuzzy System and Its Training with Negative Entropic and Rule-stability-based Regularization Journal article
Zhou, Erhao, Vong, Chi Man, Nojima, Yusuke, Wang, Shitong. A Fully Interpretable First-order TSK Fuzzy System and Its Training with Negative Entropic and Rule-stability-based Regularization[J]. IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2022, 31(7), 2305 - 2319.
Authors:  Zhou, Erhao;  Vong, Chi Man;  Nojima, Yusuke;  Wang, Shitong
Favorite | TC[WOS]:10 TC[Scopus]:14  IF:10.7/9.7 | Submit date：2023/01/30
Entropic And Rule-stability-based Regularizer  First-order Takagi-sugeno-kang (Tsk) Fuzzy System  Fuzzy Rules  Gaussian Mixture Model (Gmm)  Generalization Performance  Interpretability  
Chance-constrained DC Optimal Power Flow with Non-Gaussian Distributed Uncertainties Conference paper
Ge Chen, Hongcai Zhang, Yonghua Song. Chance-constrained DC Optimal Power Flow with Non-Gaussian Distributed Uncertainties[C], 2022.
Authors:  Ge Chen;  Hongcai Zhang;  Yonghua Song
Favorite | TC[Scopus]:3 | Submit date：2023/01/30
Dc Optimal Power Flow  Chance-constrained Programming  Non-gaussian Uncertainties  Gaussian Mixture Model  Linearization  
Chance-constrained regulation capacity offering for HVAC systems under non-Gaussian uncertainties with mixture-model-based convexification Journal article
Chen, Ge, Zhang, Hongcai, Hui, Hongxun, Song, Yonghua. Chance-constrained regulation capacity offering for HVAC systems under non-Gaussian uncertainties with mixture-model-based convexification[J]. IEEE Transactions on Smart Grid, 2022, 13(6), 4379-4391.
Authors:  Chen, Ge;  Zhang, Hongcai;  Hui, Hongxun;  Song, Yonghua
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:8.6/9.6 | Submit date：2022/08/05
Hvac Systems  Demand-side Flexibility  Regulation Capacity  Chance-constrained Programming  Gaussian Mixture Model  Convexification  
An Analytical Method of Nonparametric Probabilistic Optimal Power Flow for Renewable Distribution Systems 新能源配电系统非参数概率最优潮流解析方法 Journal article
Li, Yunyi, Wan, Can, Li, Biao, Song, Yonghua, Chen, Dawei. An Analytical Method of Nonparametric Probabilistic Optimal Power Flow for Renewable Distribution Systems 新能源配电系统非参数概率最优潮流解析方法[J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2022, 43(11), 4218-4227.
Authors:  Li, Yunyi;  Wan, Can;  Li, Biao;  Song, Yonghua;  Chen, Dawei
Favorite | TC[Scopus]:4 | Submit date：2023/07/20
Distribution System  Karush-kuhn-tucker (Kkt) Conditions  Multivariate Gaussian Mixture Model  Probabilistic Optimal Power Flow  Renewable Energy  Uncertainty  
Regulation Capacity Evaluation of Large-scale Heterogeneous Residential Air Conditioning Loads Conference paper
Hui, Hongxun, Yu, Peipei, Zhang, Hongcai, Dai, Ningyi, Jiang, Wei, Song, Yonghua. Regulation Capacity Evaluation of Large-scale Heterogeneous Residential Air Conditioning Loads[C], 2021, 2505-2510.
Authors:  Hui, Hongxun;  Yu, Peipei;  Zhang, Hongcai;  Dai, Ningyi;  Jiang, Wei; et al.
Favorite | TC[Scopus]:0 | Submit date：2022/05/13
Demand Response  Gaussian Mixture Model  Regulation Capacity Evaluation  Residential Air Conditioning  
Indian Buffet Process-Based on Nonnegative Matrix Factorization with Single Binary Component Conference paper
Xindi Ma, Jie Gao, Xiaoyu Liu, Taiping Zhang, Yuan Yan Tang. Indian Buffet Process-Based on Nonnegative Matrix Factorization with Single Binary Component[C]:IEEE, 2021, 1139-1144.
Authors:  Xindi Ma;  Jie Gao;  Xiaoyu Liu;  Taiping Zhang;  Yuan Yan Tang
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2022/05/13
Exponential Gaussian Model  Indian Buffet Process  Nonnegative Matrix Factorization  Single Binary Components