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 *

177 related articles for article (PubMed ID: 33332390)

  • 1. An improved approach for fault detection by simultaneous overcoming of high-dimensionality, autocorrelation, and time-variability.
    Hajarian N; Movahedi Sobhani F; Sadjadi SJ
    PLoS One; 2020; 15(12):e0243146. PubMed ID: 33332390
    [TBL] [Abstract][Full Text] [Related]  

  • 2. An adaptive metaheuristic optimization approach for Tennessee Eastman process for an industrial fault tolerant control system.
    Mustafa FE; Ahmed I; Basit A; Alqahtani M; Khalid M
    PLoS One; 2024; 19(2):e0296471. PubMed ID: 38381738
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Improved Statistical Fault Detection Technique and Application to Biological Phenomena Modeled by S-Systems.
    Mansouri M; Nounou MN; Nounou HN
    IEEE Trans Nanobioscience; 2017 Sep; 16(6):504-512. PubMed ID: 28708564
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Adaptive PCA based fault diagnosis scheme in imperial smelting process.
    Hu Z; Chen Z; Gui W; Jiang B
    ISA Trans; 2014 Sep; 53(5):1446-55. PubMed ID: 24439836
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An improved PCA method with application to boiler leak detection.
    Sun X; Marquez HJ; Chen T; Riaz M
    ISA Trans; 2005 Jul; 44(3):379-97. PubMed ID: 16082787
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Enhanced Multiscale Principal Component Analysis for Improved Sensor Fault Detection and Isolation.
    Malluhi B; Nounou H; Nounou M
    Sensors (Basel); 2022 Jul; 22(15):. PubMed ID: 35898068
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Comparing statistical process control charts for fault detection in wastewater treatment.
    Marais HL; Zaccaria V; Odlare M
    Water Sci Technol; 2022 Feb; 85(4):1250-1262. PubMed ID: 35228367
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Simultaneous Fault Detection and Identification in Continuous Processes via nonlinear Support Vector Machine based Feature Selection.
    Onel M; Kieslich CA; Guzman YA; Pistikopoulos EN
    Int Symp Process Syst Eng; 2018; 44():2077-2082. PubMed ID: 30534633
    [TBL] [Abstract][Full Text] [Related]  

  • 9. An intelligent moving window sparse principal component analysis-based case based reasoning for fault diagnosis: Case of the drilling process.
    Han Y; Liu J; Liu F; Geng Z
    ISA Trans; 2022 Sep; 128(Pt A):242-254. PubMed ID: 34629158
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Nonlinear Process Fault Diagnosis Based on Serial Principal Component Analysis.
    Deng X; Tian X; Chen S; Harris CJ
    IEEE Trans Neural Netw Learn Syst; 2018 Mar; 29(3):560-572. PubMed ID: 28026785
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A Nonlinear Support Vector Machine-Based Feature Selection Approach for Fault Detection and Diagnosis: Application to the Tennessee Eastman Process.
    Onel M; Kieslich CA; Pistikopoulos EN
    AIChE J; 2019 Mar; 65(3):992-1005. PubMed ID: 32377021
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Investigating Machine Learning and Control Theory Approaches for Process Fault Detection: A Comparative Study of KPCA and the Observer-Based Method.
    Lajmi F; Mhamdi L; Abdelbaki W; Dhouibi H; Younes K
    Sensors (Basel); 2023 Aug; 23(15):. PubMed ID: 37571683
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Integrated Diagnostic Framework for Process and Sensor Faults in Chemical Industry.
    Zhang J; Luo W; Dai Y
    Sensors (Basel); 2021 Jan; 21(3):. PubMed ID: 33530519
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Fault Detection and Diagnosis Using Combined Autoencoder and Long Short-Term Memory Network.
    Park P; Marco PD; Shin H; Bang J
    Sensors (Basel); 2019 Oct; 19(21):. PubMed ID: 31652821
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Fault detection with moving window PCA using NIRS spectra for monitoring the anaerobic digestion process.
    Awhangbo L; Bendoula R; Roger JM; Béline F
    Water Sci Technol; 2020 Jan; 81(2):367-382. PubMed ID: 32333669
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Fault detection and isolation in the challenging Tennessee Eastman process by using image processing techniques.
    Hajihosseini P; Anzehaee MM; Behnam B
    ISA Trans; 2018 Aug; 79():137-146. PubMed ID: 29801925
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Data-driven fault detection methods for detecting small-magnitude faults in anaerobic digestion process.
    Kazemi P; Giralt J; Bengoa C; Steyer JP
    Water Sci Technol; 2020 Apr; 81(8):1740-1748. PubMed ID: 32644966
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Directional PCA for Fast Detection and Accurate Diagnosis: A Unified Framework.
    Li J; Ding D; Tsung F
    IEEE Trans Cybern; 2022 Nov; 52(11):11362-11372. PubMed ID: 33983889
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Global-and-local-structure-based neural network for fault detection.
    Zhao H; Lai Z; Chen Y
    Neural Netw; 2019 Oct; 118():43-53. PubMed ID: 31228723
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A Holistic Evaluation of Multivariate Statistical Process Monitoring in a Biological and Membrane Treatment System.
    Newhart KB; Klanderman MC; Hering AS; Cath TY
    ACS ES T Water; 2024 Mar; 4(3):913-924. PubMed ID: 38482339
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.