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A 47-nW Voice Activity Detector (VAD) Featuring a Short-Time CNN Feature Extractor and an RNN-Based Classifier with a Non-Volatile CAP-ROM Journal article
Jinhai Lin, Ka-Fai Un, Wei-Han Yu, Rui P. Martins, Pui-In Mak. A 47-nW Voice Activity Detector (VAD) Featuring a Short-Time CNN Feature Extractor and an RNN-Based Classifier with a Non-Volatile CAP-ROM[J]. IEEE Journal of Solid State Circuits, 2023, 58(11), 3020 - 3029.
Authors:  Jinhai Lin;  Ka-Fai Un;  Wei-Han Yu;  Rui P. Martins;  Pui-In Mak
Favorite | TC[WOS]:4 TC[Scopus]:3  IF:4.6/5.6 | Submit date：2023/08/03
Capacitor-rom (Cap-rom)  Edge Computing  Feature Extraction  Model Reduction  Non-volatile Memory  Switched-capacitor Circuits  Voice Activity Detector (Vad)  Receptive Field  Recurrent Neural Network (Rnn)  
Easy recognition of artistic Chinese calligraphic characters Journal article
Yang, Lijie, Wu, Zhan, Xu, Tianchen, Du, Jixiang, Wu, Enhua. Easy recognition of artistic Chinese calligraphic characters[J]. Visual Computer, 2023, 39(8), 3755-3766.
Authors:  Yang, Lijie;  Wu, Zhan;  Xu, Tianchen;  Du, Jixiang;  Wu, Enhua
Favorite | TC[WOS]:1 TC[Scopus]:2  IF:3.0/3.0 | Submit date：2023/09/04
Character Recognition  Chinese Calligraphy  Convolutional Neural Network  Recurrent Neural Network  
Seismic response prediction of structures based on Runge-Kutta recurrent neural network with prior knowledge Journal article
Tianyu Wang, Huile Li, Mohammad Noori, Ramin Ghiasi, Sin-Chi Kuok, Wael A. Altabey. Seismic response prediction of structures based on Runge-Kutta recurrent neural network with prior knowledge[J]. Engineering Structures, 2023, 279, 115576.
Authors:  Tianyu Wang;  Huile Li;  Mohammad Noori;  Ramin Ghiasi;  Sin-Chi Kuok; et al.
Favorite | TC[WOS]:13 TC[Scopus]:22  IF:5.6/5.8 | Submit date：2023/04/03
Runge-kutta Recurrent Neural Network  Prior Knowledge  Response Prediction  Seismic Excitation  Nonlinear Structural System  
Deep Heuristic Evolutionary Regression Model Based on the Fusion of BiGRU and BiLSTM Journal article
Xu,Lixiang, Xu,Wei, Cui,Qingzhe, Li,Mengying, Luo,Bin, Tang,Yuanyan. Deep Heuristic Evolutionary Regression Model Based on the Fusion of BiGRU and BiLSTM[J]. Cognitive Computation, 2023, 15(5), 1672-1686.
Authors:  Xu,Lixiang;  Xu,Wei;  Cui,Qingzhe;  Li,Mengying;  Luo,Bin; et al.
Favorite | TC[WOS]:1 TC[Scopus]:4  IF:4.3/4.0 | Submit date：2023/08/03
Cognitive Computing  Gated Recurrent Neural Network  Group Method Of Data Handling  Long Short-term Memory  Stock Prediction  
An End-to-End Blind Image Quality Assessment Method Using a Recurrent Network and Self-Attention Journal article
Mingliang Zhou, Xuting Lan, Xuekai Wei, Xingran Liao, Qin Mao, Yutong Li, Chao Wu, Tao Xiang, Bin Fang. An End-to-End Blind Image Quality Assessment Method Using a Recurrent Network and Self-Attention[J]. IEEE Transactions on Broadcasting, 2022, 69(2), 369-377.
Authors:  Mingliang Zhou;  Xuting Lan;  Xuekai Wei;  Xingran Liao;  Qin Mao; et al.
Favorite | TC[WOS]:17 TC[Scopus]:17  IF:3.2/3.6 | Submit date：2023/07/27
Blind Image Quality Assessment  Recurrent Neural Network  Self-attention  
Convergence and robustness of bounded recurrent neural networks for solving dynamic Lyapunov equations Journal article
Guancheng Wang, Zhihao Hao, Bob Zhang, Long Jin. Convergence and robustness of bounded recurrent neural networks for solving dynamic Lyapunov equations[J]. INFORMATION SCIENCES, 2022, 588, 106-123.
Authors:  Guancheng Wang;  Zhihao Hao;  Bob Zhang;  Long Jin
Favorite | TC[WOS]:29 TC[Scopus]:27  IF:0/0 | Submit date：2022/05/04
Bounded Activation Functions  Dynamic Lyapunov Equations  Finite-time Convergence  Recurrent Neural Network  Robustness  
Multivariate Time Series Modeling for Forecasting Sintering Temperature in Rotary Kilns Using DCGNet Journal article
Zhang, X. G., Lei, Y. Y., Chen, H., Zhang, L., Zhou, Y. C.. Multivariate Time Series Modeling for Forecasting Sintering Temperature in Rotary Kilns Using DCGNet[J]. IEEE Transactions on Industrial Informatics, 2021, 4635-4645.
Authors:  Zhang, X. G.;  Lei, Y. Y.;  Chen, H.;  Zhang, L.;  Zhou, Y. C.
Favorite | TC[WOS]:32 TC[Scopus]:41 | Submit date：2022/07/09
Temperature Forecasting  Multivariate Time Series  Convolutional Neural Network  Gated Recurrent Unit Network  
Multivariate Time-Series Modeling for Forecasting Sintering Temperature in Rotary Kilns Using DCGNet Journal article
Zhang, Xiaogang, Lei, Yanying, Chen, Hua, Zhang, Lei, Zhou, Yicong. Multivariate Time-Series Modeling for Forecasting Sintering Temperature in Rotary Kilns Using DCGNet[J]. IEEE Transactions on Industrial Informatics, 2020, 17(7), 4635-4645.
Authors:  Zhang, Xiaogang;  Lei, Yanying;  Chen, Hua;  Zhang, Lei;  Zhou, Yicong
Favorite | TC[WOS]:32 TC[Scopus]:41  IF:11.7/11.4 | Submit date：2021/12/08
Convolutional Neural Network (Cnn)  Gated Recurrent Unit (Gru) Network  Multivariate Time Series  Temperature Forecasting  
Predicting concentration levels of air pollutants by transfer learning and recurrent neural network Journal article
Iat Hang Fong, Tengyue Li, Simon Fong, Raymond K. Wong, Antonio J. Tallón-Ballesteros. Predicting concentration levels of air pollutants by transfer learning and recurrent neural network[J]. Knowledge-Based Systems, 2020, 192, 105622.
Authors:  Iat Hang Fong;  Tengyue Li;  Simon Fong;  Raymond K. Wong;  Antonio J. Tallón-Ballesteros
Favorite | TC[WOS]:51 TC[Scopus]:57  IF:7.2/7.4 | Submit date：2021/03/09
Forecasting  Environment Monitoring  Transfer Learning  Recurrent Neural Network  Airborne Particle Matter  
An approach on discretizing time series using recurrent neural network Conference paper
Lei, Kuan Cheok, Zhang, Xiaohua Douglas. An approach on discretizing time series using recurrent neural network[C], 2019, 2522-2526.
Authors:  Lei, Kuan Cheok;  Zhang, Xiaohua Douglas
Favorite | TC[WOS]:8 TC[Scopus]:8 | Submit date：2022/04/15
Deep Learning  Recurrent Neural Network  Time Series Discretization