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Artificial Intelligence Prediction for the COVID-19 Data Based on LSTM Neural Networks and H2O AutoML Book chapter
出自: SpringerBriefs in Applied Sciences and Technology, 2021, 页码: 69-87
Authors:  Marques,Joao Alexandre Lobo;  Gois,Francisco Nauber Bernardo;  Xavier-Neto,José;  Fong,Simon James
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/09
Training Feed-Forward Artificial Neural Networks with a modified artificial bee colony algorithm Journal article
Neurocomputing, 2020,Volume: 416,Page: 69-84
Authors:  Xu,Feiyi;  Pun,Chi Man;  Li,Haolun;  Zhang,Yushu;  Song,Yurong;  Gao,Hao
Favorite |  | TC[WOS]:4 TC[Scopus]:5 | Submit date:2021/03/11
Artificial bee colony  Deep learning  Feed-Forward Artificial Neural Networks  Parameter selection  
A robust surrogate model of a solid oxide cell based on an adaptive polynomial approximation method Journal article
International Journal of Hydrogen Energy, 2020,Volume: 45,Issue: 58,Page: 32949-32971
Authors:  Yingtian Chi;  Yiwei Qiu;  Jin Lin;  Yonghua Song;  Wenying Li;  Qiang Hu;  Shujun Mu;  Min Liu
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/04/29
Solid Oxide Cell  Modeling  Adaptive Polynomial Approximation  Experiments  Data-driven  
ST-MGAT: Spatial-Temporal Multi-Head Graph Attention Networks for Traffic Forecasting Conference paper
Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI
Authors:  Tian,Kelang;  Guo,Jingjie;  Ye,Kejiang;  Xu,Cheng Zhong
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Graph Convolutional Networks  Spatial-Temporal Model  Traffic Forecasting  
Sparse scattered high performance computing data driven artificial neural networks for multi-dimensional optimization of buoyancy driven heat and mass transfer in porous structures Journal article
Chemical Engineering Journal, 2020,Volume: 397
Authors:  Su,Yan;  Ng,Tiniao;  Li,Zhigang;  Davidson,Jane H.
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Artificial neural network  Controllable structure generation scheme  High performance computing  Objective function  Parallel non-dimensional lattice Boltzmann method  
Location prediction over sparse user mobility traces using RNNs: Flashback in hidden states! Conference paper
IJCAI International Joint Conference on Artificial Intelligence
Authors:  Yang,Dingqi;  Fankhauser,Benjamin;  Rosso,Paolo;  Cudre-Mauroux,Philippe
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Intelligent fault diagnosis of rolling element bearing based on convolutional neural network and frequency spectrograms Conference paper
2019 IEEE International Conference on Prognostics and Health Management, ICPHM 2019
Authors:  Liang,Pengfei;  Deng,Chao;  Wu,Jun;  Yang,Zhixin;  Zhu,Jinxuan
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Convolutional neural networks  Fault diagnosis  Frequency spectrograms  Rolling bearing  
A Novel Scheme Based on the Diffusion to Edge Detection Journal article
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019,Volume: 28,Issue: 4,Page: 1613-1624
Authors:  He, Yuesheng;  Ni, Lionel M.
Favorite |  | TC[WOS]:8 TC[Scopus]:11 | Submit date:2019/01/17
Image processing  diffusion  edge detection  Sobolev space  Bessel potential  
SeqViews2SeqLabels: Learning 3D global features via aggregating sequential views by RNN with attention Journal article
IEEE Transactions on Image Processing, 2019,Volume: 28,Issue: 2,Page: 658-672
Authors:  Han Z.;  Shang M.;  Liu Z.;  Vong C.-M.;  Liu Y.-S.;  Zwicker M.;  Han J.;  Chen C.L.P.
Favorite |  | TC[WOS]:45 TC[Scopus]:62 | Submit date:2019/02/14
3d Feature Learning  Attention  Rnn  Sequential Labels  Sequential Views  View Aggregation  
EEG Emotion Recognition Using Dynamical Graph Convolutional Neural Networks and Broad Learning System Conference paper
Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018
Authors:  Wang,Xue Han;  Zhang,Tong;  Xu,Xiang Min;  Chen,Long;  Xing,Xiao Fen;  Chen,C. L.Philip
Favorite |  | TC[WOS]:0 TC[Scopus]:13 | Submit date:2021/03/09
biological signals  broad dynamical graph learning system (BDGLS)  broad learning system (BLS)  Emotion recognition  graph convolutional neural networks (GCNN)