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 *

140 related articles for article (PubMed ID: 38676269)

  • 1. Machine Tool Wear Prediction Technology Based on Multi-Sensor Information Fusion.
    Wang K; Wang A; Wu L; Xie G
    Sensors (Basel); 2024 Apr; 24(8):. PubMed ID: 38676269
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Online Surface Roughness Prediction for Assembly Interfaces of Vertical Tail Integrating Tool Wear under Variable Cutting Parameters.
    Wang Y; Wang Y; Zheng L; Zhou J
    Sensors (Basel); 2022 Mar; 22(5):. PubMed ID: 35271142
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An Improved ResNet-1d with Channel Attention for Tool Wear Monitor in Smart Manufacturing.
    Dong L; Wang C; Yang G; Huang Z; Zhang Z; Li C
    Sensors (Basel); 2023 Jan; 23(3):. PubMed ID: 36772279
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Remaining Useful-Life Prediction of the Milling Cutting Tool Using Time-Frequency-Based Features and Deep Learning Models.
    Sayyad S; Kumar S; Bongale A; Kotecha K; Abraham A
    Sensors (Basel); 2023 Jun; 23(12):. PubMed ID: 37420825
    [TBL] [Abstract][Full Text] [Related]  

  • 5. A Novel Machine Learning-Based Methodology for Tool Wear Prediction Using Acoustic Emission Signals.
    Ferrando Chacón JL; Fernández de Barrena T; García A; Sáez de Buruaga M; Badiola X; Vicente J
    Sensors (Basel); 2021 Sep; 21(17):. PubMed ID: 34502874
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Local-feature and global-dependency based tool wear prediction using deep learning.
    Yang C; Zhou J; Li E; Wang M; Jin T
    Sci Rep; 2022 Aug; 12(1):14574. PubMed ID: 36028636
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Multi-Sensor Data Fusion for Remaining Useful Life Prediction of Machining Tools by IABC-BPNN in Dry Milling Operations.
    Liu M; Yao X; Zhang J; Chen W; Jing X; Wang K
    Sensors (Basel); 2020 Aug; 20(17):. PubMed ID: 32824889
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Tool Condition Monitoring Using Machine Tool Spindle Current and Long Short-Term Memory Neural Network Model Analysis.
    Turšič N; Klančnik S
    Sensors (Basel); 2024 Apr; 24(8):. PubMed ID: 38676107
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A Novel Multi-Task Learning Model with PSAE Network for Simultaneous Estimation of Surface Quality and Tool Wear in Milling of Nickel-Based Superalloy Haynes 230.
    Cheng M; Jiao L; Yan P; Gu H; Sun J; Qiu T; Wang X
    Sensors (Basel); 2022 Jun; 22(13):. PubMed ID: 35808436
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Tool Wear Prediction in Ti-6Al-4V Machining through Multiple Sensor Monitoring and PCA Features Pattern Recognition.
    Caggiano A
    Sensors (Basel); 2018 Mar; 18(3):. PubMed ID: 29522443
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Tool Wear Condition Monitoring by Combining Variational Mode Decomposition and Ensemble Learning.
    Yuan J; Liu L; Yang Z; Zhang Y
    Sensors (Basel); 2020 Oct; 20(21):. PubMed ID: 33121086
    [TBL] [Abstract][Full Text] [Related]  

  • 12. LSTM Short-Term Wind Power Prediction Method Based on Data Preprocessing and Variational Modal Decomposition for Soft Sensors.
    Lei P; Ma F; Zhu C; Li T
    Sensors (Basel); 2024 Apr; 24(8):. PubMed ID: 38676138
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Using a Machine Learning Algorithm Integrated with Data De-Noising Techniques to Optimize the Multipoint Sensor Network.
    Manie YC; Li JW; Peng PC; Shiu RK; Chen YY; Hsu YT
    Sensors (Basel); 2020 Feb; 20(4):. PubMed ID: 32079102
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Video-Based Sign Language Recognition via ResNet and LSTM Network.
    Huang J; Chouvatut V
    J Imaging; 2024 Jun; 10(6):. PubMed ID: 38921626
    [TBL] [Abstract][Full Text] [Related]  

  • 15. State-of-Health Prediction Using Transfer Learning and a Multi-Feature Fusion Model.
    Fu P; Chu L; Hou Z; Guo Z; Lin Y; Hu J
    Sensors (Basel); 2022 Nov; 22(21):. PubMed ID: 36366228
    [TBL] [Abstract][Full Text] [Related]  

  • 16. A Dual-Stage Attention Model for Tool Wear Prediction in Dry Milling Operation.
    Qin Y; Li J; Zhang C; Zhao Q; Ma X
    Entropy (Basel); 2022 Nov; 24(12):. PubMed ID: 36554138
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Rotation Error Prediction of CNC Spindle Based on Short-Time Fourier Transform of Vibration Sensor Signals and Improved Weighted Residual Network.
    Song L; Tan J
    Sensors (Basel); 2024 Jun; 24(13):. PubMed ID: 39001023
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Transfer Learning-Based Condition Monitoring of Single Point Cutting Tool.
    Naveen Venkatesh S; Arun Balaji P; Elangovan M; Annamalai K; Indira V; Sugumaran V; Mahamuni VS
    Comput Intell Neurosci; 2022; 2022():3205960. PubMed ID: 35875754
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Estimation of Tool Wear and Surface Roughness Development Using Deep Learning and Sensors Fusion.
    Huang PM; Lee CH
    Sensors (Basel); 2021 Aug; 21(16):. PubMed ID: 34450780
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Learning to Monitor Machine Health with Convolutional Bi-Directional LSTM Networks.
    Zhao R; Yan R; Wang J; Mao K
    Sensors (Basel); 2017 Jan; 17(2):. PubMed ID: 28146106
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.