These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

107 related articles for article (PubMed ID: 31078289)

  • 21. A complex-valued slow independent component analysis based incipient fault detection and diagnosis method with applications to wastewater treatment processes.
    Xu C; Huang D; Cai B; Chen H; Liu Y
    ISA Trans; 2023 Apr; 135():213-232. PubMed ID: 36175190
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Fault detection and diagnosis for non-Gaussian stochastic distribution systems with time delays via RBF neural networks.
    Yi Q; Zhan-ming L; Er-chao L
    ISA Trans; 2012 Nov; 51(6):786-91. PubMed ID: 22902083
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Batch process fault detection and identification based on discriminant global preserving kernel slow feature analysis.
    Zhang H; Tian X; Deng X; Cao Y
    ISA Trans; 2018 Aug; 79():108-126. PubMed ID: 29776590
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Hybrid Variable Monitoring Mixture Model for Anomaly Detection in Industrial Processes.
    Wang M; Zhou D; Chen M
    IEEE Trans Cybern; 2024 Jan; 54(1):319-331. PubMed ID: 37015397
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Enhanced data validation strategy of air quality monitoring network.
    Harkat MF; Mansouri M; Nounou M; Nounou H
    Environ Res; 2018 Jan; 160():183-194. PubMed ID: 28987729
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Graphical enhancement to support PCA-based process monitoring and fault diagnosis.
    Ralston P; DePuy G; Graham JH
    ISA Trans; 2004 Oct; 43(4):639-53. PubMed ID: 15535400
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Monitoring, fault detection and operation prediction of MSW incinerators using multivariate statistical methods.
    Tavares G; Zsigraiová Z; Semiao V; Carvalho Mda G
    Waste Manag; 2011 Jul; 31(7):1635-44. PubMed ID: 21376557
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Dynamic monitoring system for full-scale wastewater treatment plants.
    Yoo CK; Lee JM; Lee IB; Vanrolleghem PA
    Water Sci Technol; 2004; 50(11):163-71. PubMed ID: 15685992
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Variance sensitive adaptive threshold-based PCA method for fault detection with experimental application.
    Alkaya A; Eker I
    ISA Trans; 2011 Apr; 50(2):287-302. PubMed ID: 21251651
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Quality monitoring method based on enhanced canonical component analysis.
    Yang J; Dong J; Shi H; Tan S
    ISA Trans; 2020 Oct; 105():221-229. PubMed ID: 32624172
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A vessel segmentation method for multi-modality angiographic images based on multi-scale filtering and statistical models.
    Lu P; Xia J; Li Z; Xiong J; Yang J; Zhou S; Wang L; Chen M; Wang C
    Biomed Eng Online; 2016 Nov; 15(1):120. PubMed ID: 27825346
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Kernel Generalized Likelihood Ratio Test for Fault Detection of Biological Systems.
    Mansouri M; Baklouti R; Harkat MF; Nounou M; Nounou H; Hamida AB
    IEEE Trans Nanobioscience; 2018 Oct; 17(4):498-506. PubMed ID: 30296237
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Monitoring of a sequencing batch reactor using adaptive multiblock principal component analysis.
    Lee DS; Vanrolleghem PA
    Biotechnol Bioeng; 2003 May; 82(4):489-97. PubMed ID: 12632406
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Relevant and independent multi-block approach for plant-wide process and quality-related monitoring based on KPCA and SVDD.
    Huang J; Yan X
    ISA Trans; 2018 Feb; 73():257-267. PubMed ID: 29317086
    [TBL] [Abstract][Full Text] [Related]  

  • 35. A KPI-Based Probabilistic Soft Sensor Development Approach that Maximizes the Coefficient of Determination.
    Zhang Y; Yang X; Shardt YAW; Cui J; Tong C
    Sensors (Basel); 2018 Sep; 18(9):. PubMed ID: 30213097
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Process monitoring using kernel density estimation and Bayesian networking with an industrial case study.
    Gonzalez R; Huang B; Lau E
    ISA Trans; 2015 Sep; 58():330-47. PubMed ID: 25930233
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Fault Detection for Nonlinear Process With Deterministic Disturbances: A Just-In-Time Learning Based Data Driven Method.
    Yin S; Gao H; Qiu J; Kaynak O
    IEEE Trans Cybern; 2017 Nov; 47(11):3649-3657. PubMed ID: 27416612
    [TBL] [Abstract][Full Text] [Related]  

  • 38. New monitoring technique with an ICA algorithm in the wastewater treatment process.
    Lee JM; Yoo CK; Lee IB
    Water Sci Technol; 2003; 47(12):49-56. PubMed ID: 12926669
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Dynamic Batch Process Monitoring Based on Time-Slice Latent Variable Correlation Analysis.
    Du L; Jin W; Wang Y; Jiang Q
    ACS Omega; 2022 Nov; 7(45):41069-41081. PubMed ID: 36406484
    [TBL] [Abstract][Full Text] [Related]  

  • 40.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 6.