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 *

176 related articles for article (PubMed ID: 37571604)

  • 1. A Survey of Image-Based Fault Monitoring in Additive Manufacturing: Recent Developments and Future Directions.
    Kim RG; Abisado M; Villaverde J; Sampedro GA
    Sensors (Basel); 2023 Jul; 23(15):. PubMed ID: 37571604
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Exploring Machine Learning-Based Fault Monitoring for Polymer-Based Additive Manufacturing: Challenges and Opportunities.
    Sampedro GAR; Rachmawati SM; Kim DS; Lee JM
    Sensors (Basel); 2022 Dec; 22(23):. PubMed ID: 36502146
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 3D printing in materials manufacturing industry: A realm of Industry 4.0.
    Tamir TS; Xiong G; Shen Z; Leng J; Fang Q; Yang Y; Jiang J; Lodhi E; Wang FY
    Heliyon; 2023 Sep; 9(9):e19689. PubMed ID: 37809506
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Exploring Digital Twin-Based Fault Monitoring: Challenges and Opportunities.
    Bofill J; Abisado M; Villaverde J; Sampedro GA
    Sensors (Basel); 2023 Aug; 23(16):. PubMed ID: 37631622
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Application of Artificial Intelligence for Surface Roughness Prediction of Additively Manufactured Components.
    Batu T; Lemu HG; Shimels H
    Materials (Basel); 2023 Sep; 16(18):. PubMed ID: 37763543
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Machine learning for fault analysis in rotating machinery: A comprehensive review.
    Das O; Bagci Das D; Birant D
    Heliyon; 2023 Jun; 9(6):e17584. PubMed ID: 37408928
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Progress and Opportunities for Machine Learning in Materials and Processes of Additive Manufacturing.
    Ng WL; Goh GL; Goh GD; Ten JSJ; Yeong WY
    Adv Mater; 2024 Mar; ():e2310006. PubMed ID: 38456831
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Recent advances and future trends in exploring Pareto-optimal topologies and additive manufacturing oriented topology optimization.
    Fu YF
    Math Biosci Eng; 2020 Jul; 17(5):4631-4656. PubMed ID: 33120522
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. Fault Diagnosis and Prediction System for Metal Wire Feeding Additive Manufacturing.
    Xie M; Shi Z; Yue X; Ding M; Qiu Y; Jia Y; Li B; Li N
    Sensors (Basel); 2024 Jul; 24(13):. PubMed ID: 39001056
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Condition Monitoring of Additively Manufactured Injection Mould Tooling: A Review of Demands, Opportunities and Potential Strategies.
    Weinert A; Tormey D; O'Hara C; McAfee M
    Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850913
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Brief Review of Acoustic and Vibration Signal-Based Fault Detection for Belt Conveyor Idlers Using Machine Learning Models.
    Alharbi F; Luo S; Zhang H; Shaukat K; Yang G; Wheeler CA; Chen Z
    Sensors (Basel); 2023 Feb; 23(4):. PubMed ID: 36850498
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine learning techniques applied to mechanical fault diagnosis and fault prognosis in the context of real industrial manufacturing use-cases: a systematic literature review.
    Fernandes M; Corchado JM; Marreiros G
    Appl Intell (Dordr); 2022; 52(12):14246-14280. PubMed ID: 35261480
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A Review of the Residual Stress Generation in Metal Additive Manufacturing: Analysis of Cause, Measurement, Effects, and Prevention.
    Bastola N; Jahan MP; Rangasamy N; Rakurty CS
    Micromachines (Basel); 2023 Jul; 14(7):. PubMed ID: 37512791
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Six-Sigma Quality Management of Additive Manufacturing.
    Yang H; Rao P; Simpson T; Lu Y; Witherell P; Nassar AR; Reutzel E; Kumara S
    Proc IEEE Inst Electr Electron Eng; 2021 Apr; 109(4):. PubMed ID: 34248180
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Railway track surface faults dataset.
    Arain A; Mehran S; Shaikh MZ; Kumar D; Chowdhry BS; Hussain T
    Data Brief; 2024 Feb; 52():110050. PubMed ID: 38299101
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Additive Manufacturing in Off-Site Construction: Review and Future Directions.
    Pasco J; Lei Z; Aranas C
    Buildings (Basel); 2022 Jan; 12(1):53. PubMed ID: 35911632
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Entropy-Based Methods for Motor Fault Detection: A Review.
    Aguayo-Tapia S; Avalos-Almazan G; Rangel-Magdaleno JJ
    Entropy (Basel); 2024 Mar; 26(4):. PubMed ID: 38667853
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Research on rapier loom fault system based on cloud-side collaboration.
    Xiao Y; Wang K; Liu W; Peng K; Wan F
    PLoS One; 2021; 16(12):e0260888. PubMed ID: 34972098
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.