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 *

153 related articles for article (PubMed ID: 30820072)

  • 1. A review of diagnostic and prognostic capabilities and best practices for manufacturing.
    Vogl GW; Weiss BA; Helu M
    J Intell Manuf; 2019 Jan; 30(1):79-95. PubMed ID: 30820072
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Advancing Measurement Science to Assess Monitoring, Diagnostics, and Prognostics for Manufacturing Robotics.
    Qiao G; Weiss BA
    Int J Progn Health Manag; 2016; 7(Spec Iss on Smart Manufacturing PHM):. PubMed ID: 28058172
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Measurement Science for Prognostics and Health Management for Smart Manufacturing Systems: Key Findings from a Roadmapping Workshop.
    Weiss BA; Vogl G; Helu M; Qiao G; Pellegrino J; Justiniano M; Raghunathan A
    Proc Annu Conf Progn Health Manag Soc; 2015; 6():046. PubMed ID: 28664163
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Adaptive Multi-scale Prognostics and Health Management for Smart Manufacturing Systems.
    Choo BY; Adams SC; Weiss BA; Marvel JA; Beling PA
    Int J Progn Health Manag; 2016; 7():014. PubMed ID: 28736651
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Measurement and Evaluation for Prognostics and Health Management (PHM) for Manufacturing Operations - Summary of an Interactive Workshop Highlighting PHM Trends.
    Weiss BA; Brundage MP
    Int J Progn Health Manag; 2021; 12(1):. PubMed ID: 34430065
    [TBL] [Abstract][Full Text] [Related]  

  • 6. System Interdependency Modeling in the Design of Prognostic and Health Management Systems in Smart Manufacturing.
    Malinowski ML; Beling PA; Haimes YY; LaViers A; Marvel JA; Weiss BA
    Proc Annu Conf Progn Health Manag Soc; 2015; 6():038. PubMed ID: 28664162
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Hierarchical Modeling of a Manufacturing Work Cell to Promote Contextualized PHM Information Across Multiple Levels.
    Sharp M; Weiss BA
    Manuf Lett; 2018 Jan; 15(A):46-49. PubMed ID: 29725579
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Adaptive Multi-scale PHM for Robotic Assembly Processes.
    Choo BY; Beling PA; LaViers AE; Marvel JA; Weiss BA
    Proc Annu Conf Progn Health Manag Soc; 2015; 6():037. PubMed ID: 28664161
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The present status and future growth of maintenance in US manufacturing: results from a pilot survey.
    Jin X; Siegel D; Weiss BA; Gamel E; Wang W; Lee J; Ni J
    Manuf Rev (Les Ulis); 2016; 3():10. PubMed ID: 27525253
    [TBL] [Abstract][Full Text] [Related]  

  • 10. The future of Cochrane Neonatal.
    Soll RF; Ovelman C; McGuire W
    Early Hum Dev; 2020 Nov; 150():105191. PubMed ID: 33036834
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Linear Temporal Logic (LTL) Based Monitoring of Smart Manufacturing Systems.
    Heddy G; Huzaifa U; Beling P; Haimes Y; Marvel J; Weiss B; LaViers A
    Proc Annu Conf Progn Health Manag Soc; 2015; 6():039. PubMed ID: 28730154
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Smart Prognostics and Health Management (SPHM) in Smart Manufacturing: An Interoperable Framework.
    Sundaram S; Zeid A
    Sensors (Basel); 2021 Sep; 21(18):. PubMed ID: 34577203
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Sensor systems for prognostics and health management.
    Cheng S; Azarian MH; Pecht MG
    Sensors (Basel); 2010; 10(6):5774-97. PubMed ID: 22219686
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Present Status and Future Growth of Advanced Maintenance Technology and Strategy in US Manufacturing.
    Jin X; Weiss BA; Siegel D; Lee J
    Int J Progn Health Manag; 2016; 7(Spec Iss on Smart Manufacturing PHM):012. PubMed ID: 28058173
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Overview of Explainable Artificial Intelligence for Prognostic and Health Management of Industrial Assets Based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses.
    Nor AKM; Pedapati SR; Muhammad M; Leiva V
    Sensors (Basel); 2021 Dec; 21(23):. PubMed ID: 34884024
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Challenges and Opportunities of System-Level Prognostics.
    Kim S; Choi JH; Kim NH
    Sensors (Basel); 2021 Nov; 21(22):. PubMed ID: 34833731
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prognostics and Health Management of Industrial Assets: Current Progress and Road Ahead.
    Biggio L; Kastanis I
    Front Artif Intell; 2020; 3():578613. PubMed ID: 33733218
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Machine Learning-Based Sensor Data Modeling Methods for Power Transformer PHM.
    Li A; Yang X; Dong H; Xie Z; Yang C
    Sensors (Basel); 2018 Dec; 18(12):. PubMed ID: 30558208
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Bio-Inspired PHM Model for Diagnostics of Faults in Power Transformers Using Dissolved Gas-in-Oil Data.
    Dong H; Yang X; Li A; Xie Z; Zuo Y
    Sensors (Basel); 2019 Feb; 19(4):. PubMed ID: 30781700
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 8.