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Deep learning-driven evaluation and prediction of ion-doped NASICON materials for enhanced solid-state battery performance Journal article
Zhao, Zirui, Wang, Xiaoke, Wu, Si, Zhou, Pengfei, Zhao, Qian, Xu, Guanping, Sun, Kaitong, Li, Hai Feng. Deep learning-driven evaluation and prediction of ion-doped NASICON materials for enhanced solid-state battery performance[J]. AAPPS Bulletin, 2024, 34(1), 26.
Authors:  Zhao, Zirui;  Wang, Xiaoke;  Wu, Si;  Zhou, Pengfei;  Zhao, Qian; et al.
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/10/10
Deep Learning Model  Electrochemical Properties  Ion Doping  Nasicon  Solid-state Electrolyte  
The impact of visual, auditory, textual stimuli on crowdfunding: evidence from tourism projects Journal article
Chen, Yihong, Hu, Tao, Law, Rob. The impact of visual, auditory, textual stimuli on crowdfunding: evidence from tourism projects[J]. Current Issues in Tourism, 2024.
Authors:  Chen, Yihong;  Hu, Tao;  Law, Rob
Favorite | TC[WOS]:0 TC[Scopus]:0  IF:5.7/6.7 | Submit date：2024/08/05
Computerised Video Content Analysis  Crowdfunding Entrepreneurs  Data Mining  Deep Learning  Forecasting Model  
StocIPNet: A novel probabilistic interpretable network with affine-embedded reparameterization layer for high-dimensional stochastic inverse problems Journal article
Mo, Jiang, Yan, Wang Ji. StocIPNet: A novel probabilistic interpretable network with affine-embedded reparameterization layer for high-dimensional stochastic inverse problems[J]. Mechanical Systems and Signal Processing, 2024, 220, 111623.
Authors:  Mo, Jiang;  Yan, Wang Ji
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:7.9/8.0 | Submit date：2024/08/05
Deep Learning  Model Updating  Reparameterization Trick  Stochastic Inverse Problems  Structural Health Monitoring  
A Deep Learning Approach Based on Novel Multi-Feature Fusion for Power Load Prediction Journal article
Xiao, Ling, An, Ruofan, Zhang, Xue. A Deep Learning Approach Based on Novel Multi-Feature Fusion for Power Load Prediction[J]. Processes, 2024, 12(4), 793.
Authors:  Xiao, Ling;  An, Ruofan;  Zhang, Xue
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:2.8/3.0 | Submit date：2024/05/16
Deep Learning Model  Multiple Features  Power Load Forecasting  Transfer Learning  
When Pre-Training Model Meets Smart Meter Data Applications: A Preliminary Trial of General Way Conference paper
Wang, Zhenyi, Zhang, Hongcai, Zhou, Baorong, Zhao, Wenmeng, Mao, Tian. When Pre-Training Model Meets Smart Meter Data Applications: A Preliminary Trial of General Way[C]:IEEE Computer Society, 2024, 203130.
Authors:  Wang, Zhenyi;  Zhang, Hongcai;  Zhou, Baorong;  Zhao, Wenmeng;  Mao, Tian
Favorite | TC[Scopus]:0 | Submit date：2024/11/05
Deep Learning  Load Forecasting  Load Profiling  Pre-training Model  Smart Meter Data  Transformer  
District Cooling System Control for Providing Operating Reserve Based on Safe Deep Reinforcement Learning Journal article
Peipei Yu, Hongcai Zhang, Yonghua Song, Hongxun Hui, Ge Chen. District Cooling System Control for Providing Operating Reserve Based on Safe Deep Reinforcement Learning[J]. IEEE Transactions on Power Systems, 2024, 39(1), 40 - 52.
Authors:  Peipei Yu;  Hongcai Zhang;  Yonghua Song;  Hongxun Hui;  Ge Chen
Favorite | TC[WOS]:13 TC[Scopus]:16  IF:6.5/7.4 | Submit date：2023/07/12
District Cooling System  Operating Reserve  Model-free Control  Safe Deep Reinforcement Learning  
A Model-free Combined Energy and Thermal Management Strategy for HEVs Based on Reinforcement-Learning Under Low-Temperature Journal article
Li, Kai, Chen, Hong, Wu, Yuhu, Zhao, Jing, Ding, Shihong, Gao, Jinwu. A Model-free Combined Energy and Thermal Management Strategy for HEVs Based on Reinforcement-Learning Under Low-Temperature[J]. IEEE Transactions on Intelligent Vehicles, 2024.
Authors:  Li, Kai;  Chen, Hong;  Wu, Yuhu;  Zhao, Jing;  Ding, Shihong; et al.
Favorite | TC[Scopus]:0  IF:14.0/11.2 | Submit date：2024/07/04
Batteries  Combined Energy And Thermal Management (C-etm)  Couplings  Deep Reinforcement Learning  Energy Management  Heat Engines  Hybrid Electric Vehicles (Hevs)  Low Temperature Environment  Model-free  Optimization  Thermal Management  Waste Heat  
Deep-learning-based object classification of tactile robot hand for smart factory Journal article
Wang,Dongkun, Teng,Yunfei, Peng,Jieyang, Zhao,Junkai, Wang,Pengyang. Deep-learning-based object classification of tactile robot hand for smart factory[J]. Applied Intelligence, 2023, 53(19), 22374–22390.
Authors:  Wang,Dongkun;  Teng,Yunfei;  Peng,Jieyang;  Zhao,Junkai;  Wang,Pengyang
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:3.4/3.9 | Submit date：2023/08/03
Adaptive Grasping  Deep Learning Model  Object Classification  Tactile Robot  
Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI Conference paper
Lv, Tianxu, Liu, Yuan, Miao, Kai, Li, Lihua, Pan, Xiang. Diffusion Kinetic Model for Breast Cancer Segmentation in Incomplete DCE-MRI[C]:SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, D-14197 BERLIN, GERMANY, 2023, 100-109.
Authors:  Lv, Tianxu;  Liu, Yuan;  Miao, Kai;  Li, Lihua;  Pan, Xiang
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/02/22
Cancer Segmentation  Dce-mri  Deep Learning  Denoising Diffusion Model  Kinetic Representation  
DC-DC Buck circuit fault diagnosis with insufficient state data based on deep model and transfer strategy Journal article
Jia, Zhen, Liu, Zhenbao, Vong, Chi Man, Wang, Shengdong, Cai, Yongyi. DC-DC Buck circuit fault diagnosis with insufficient state data based on deep model and transfer strategy[J]. Expert Systems with Applications, 2023, 213, 118918.
Authors:  Jia, Zhen;  Liu, Zhenbao;  Vong, Chi Man;  Wang, Shengdong;  Cai, Yongyi
Favorite | TC[WOS]:10 TC[Scopus]:15  IF:7.5/7.6 | Submit date：2023/04/03
Dc-dc Buck Circuit  Fault Diagnosis  Deep Elm-ae Model  Kernel Method  Transfer Learning