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Empirical Mode Decomposition and Temporal Convolutional Networks for Remaining Useful Life Estimation Journal article
International Journal of Parallel Programming, 2020,Volume: 48,Issue: 1,Page: 61-79
Authors:  Yang,Wensi;  Yao,Qingfeng;  Ye,Kejiang;  Xu,Cheng Zhong
Favorite |  | TC[WOS]:0 TC[Scopus]:1 | Submit date:2021/03/09
Convolutional neural networks  Empirical mode decomposition  Reliability  Remaining useful life  
Transcriptome analysis of peripheral whole blood identifies crucial lncRNAs implicated in childhood asthma Journal article
BMC Medical Genomics, 2020,Volume: 13,Issue: 1
Authors:  Zheng P.;  Huang C.;  Leng D.;  Sun B.;  Zhang X.D.
Adobe PDF | Favorite |  | TC[WOS]:2 TC[Scopus]:2 | Submit date:2021/03/03
Childhood Asthma  Deep Rna-sequencing  Long Non-coding Rnas  Transcriptome  
Organism dual RNA-seq reveals the importance of BarA/UvrY in Vibrio parahaemolyticus virulence Journal article
FASEB Journal, 2020,Volume: 34,Issue: 6,Page: 7561-7577
Authors:  Zhang W.;  Xie R.;  Zhang X.D.;  Lee L.T.O.;  Zhang H.;  Yang M.;  Peng B.;  Zheng J.
Adobe PDF | Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2021/03/03
Bara  C. Elegans  Organism Dual Rna-seq  Uvry  V. Parahaemolyticus  Virulence Factor  
A Novel Prognostic Approach for RUL Estimation with Evolving Joint Prediction of Continuous and Discrete States Journal article
IEEE Transactions on Industrial Informatics, 2019
Authors:  Rong-Jing Bao;  Hai-Jun Rong;  Zhixin Yang;  Badong Chen
Favorite |  | TC[WOS]:1 TC[Scopus]:0 | Submit date:2019/04/04
Computer-Aided Formulation Design for a Highly Soluble Lutein-Cyclodextrin Multiple-Component Delivery System Journal article
MOLECULAR PHARMACEUTICS, 2018,Volume: 15,Issue: 4,Page: 1664-1673
Authors:  Zhao, Qianqian;  Miriyala, Nikhila;  Su, Yan;  Chen, Weijie;  Gao, Xuejiao;  Shao, Ling;  Yan, Ru;  Li, Haifeng;  Yao, Xiaojun;  Cao, Dongsheng;  Wang, Yitao;  Ouyang, Defang
View | Adobe PDF | Favorite |  | TC[WOS]:18 TC[Scopus]:20 | Submit date:2018/10/30
Lutein  Cyclodextrin  Multiple-component System  Molecular Dynamics Simulation  Bioavailability  Computer-aided Formulation Design  
ELM Meets RAE-ELM: A hybrid intelligent model for multiple fault diagnosis and remaining useful life predication of rotating machinery Conference paper
Proceedings of the International Joint Conference on Neural Networks, Vancouver, BC, Canada, 24-29 July 2016
Authors:  Yang Z.-X.;  Zhang P.-B.
Favorite |  | TC[WOS]:7 TC[Scopus]:10 | Submit date:2018/12/22
Extreme Learning Machine (Elm)  Fault Diagnosis  Hybrid Intelligent Model  Network  Predication  Remaining Useful Life  
Metabolic characterization of (±)-praeruptorin A in vitro and in vivo by high performance liquid chromatography coupled with hybrid triple quadrupole-linear ion trap mass spectrometry and time-of-flight mass spectrometry Journal article
JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS, 2014,Volume: 90,Issue: 5,Page: 98-110
Authors:  Song, Yue-Lin;  Jing, Wang-Hui;  Yan, Ru;  Wang, Yi-Tao
View | Adobe PDF | Favorite |  | TC[WOS]:22 TC[Scopus]:21 | Submit date:2018/11/01
(+/-)-praeruptorin a  Metabolism  Lightsight (Tm) Software  In Vivo  Peucedani Radix  
Research of predicting machine's remaining useful life based on statistical pattern recognition and auto-regressive and moving average model Journal article
Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2011,Volume: 45,Issue: 7,Page: 1000-1005
Authors:  Liao W.-Z.;  Pan E.-S.;  Wang Y.;  Xi L.-F.
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2019/01/16
Auto-regressive and moving average (ARMA) model  Health index (HI)  Prediction  Remaining useful life (RUL)  Statistical pattern recognition (SPR)