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 *

181 related articles for article (PubMed ID: 32987533)

  • 1. R2DS: A novel hierarchical framework for driver fatigue detection in mountain freeway.
    You F; Gong YB; Li XL; Wang HW
    Math Biosci Eng; 2020 Apr; 17(4):3356-3381. PubMed ID: 32987533
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Driver fatigue detection based on eye state.
    Lin L; Huang C; Ni X; Wang J; Zhang H; Li X; Qian Z
    Technol Health Care; 2015; 23 Suppl 2():S453-63. PubMed ID: 26410512
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A real-time driver fatigue identification method based on GA-GRNN.
    Wang X; Chen L; Zhang Y; Shi H; Wang G; Wang Q; Han J; Zhong F
    Front Public Health; 2022; 10():991350. PubMed ID: 36339171
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Driver Fatigue Detection Based on Convolutional Neural Networks Using EM-CNN.
    Zhao Z; Zhou N; Zhang L; Yan H; Xu Y; Zhang Z
    Comput Intell Neurosci; 2020; 2020():7251280. PubMed ID: 33293943
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Fatigue Driving Detection Method Based on Combination of BP Neural Network and Time Cumulative Effect.
    Chen J; Yan M; Zhu F; Xu J; Li H; Sun X
    Sensors (Basel); 2022 Jun; 22(13):. PubMed ID: 35808213
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Partial directed coherence based graph convolutional neural networks for driving fatigue detection.
    Zhang W; Wang F; Wu S; Xu Z; Ping J; Jiang Y
    Rev Sci Instrum; 2020 Jul; 91(7):074713. PubMed ID: 32752838
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Modular design of fatigue detection in naturalistic driving environments.
    Al-Libawy H; Al-Ataby A; Al-Nuaimy W; Al-Taee MA
    Accid Anal Prev; 2018 Nov; 120():188-194. PubMed ID: 30170293
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Advancing driver fatigue detection in diverse lighting conditions for assisted driving vehicles with enhanced facial recognition technologies.
    Lin N; Zuo Y
    PLoS One; 2024; 19(7):e0304669. PubMed ID: 38985745
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Driver identification and fatigue detection algorithm based on deep learning.
    Ma Y; Tao Y; Gong Y; Cui W; Wang B
    Math Biosci Eng; 2023 Feb; 20(5):8162-8189. PubMed ID: 37161191
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Computer vision-based approach to detect fatigue driving and face mask for edge computing device.
    Rahman A; Hriday MBH; Khan R
    Heliyon; 2022 Oct; 8(10):e11204. PubMed ID: 36325144
    [TBL] [Abstract][Full Text] [Related]  

  • 11. A proactive lane-changing risk prediction framework considering driving intention recognition and different lane-changing patterns.
    Shangguan Q; Fu T; Wang J; Fang S; Fu L
    Accid Anal Prev; 2022 Jan; 164():106500. PubMed ID: 34823098
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Remote Photoplethysmography and Motion Tracking Convolutional Neural Network with Bidirectional Long Short-Term Memory: Non-Invasive Fatigue Detection Method Based on Multi-Modal Fusion.
    Kong L; Xie K; Niu K; He J; Zhang W
    Sensors (Basel); 2024 Jan; 24(2):. PubMed ID: 38257546
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Real driving environment EEG-based detection of driving fatigue using the wavelet scattering network.
    Wang F; Chen D; Yao W; Fu R
    J Neurosci Methods; 2023 Dec; 400():109983. PubMed ID: 37838152
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Optical flow and driver's kinematics analysis for state of alert sensing.
    Jiménez-Pinto J; Torres-Torriti M
    Sensors (Basel); 2013 Mar; 13(4):4225-57. PubMed ID: 23539029
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Using long short term memory and convolutional neural networks for driver drowsiness detection.
    Quddus A; Shahidi Zandi A; Prest L; Comeau FJE
    Accid Anal Prev; 2021 Jun; 156():106107. PubMed ID: 33848710
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Lightweight Driver Monitoring System Based on Multi-Task Mobilenets.
    Kim W; Jung WS; Choi HK
    Sensors (Basel); 2019 Jul; 19(14):. PubMed ID: 31330770
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Research on imaging method of driver's attention area based on deep neural network.
    Zhao S; Li Y; Ma J; Xing Z; Tang Z; Zhu S
    Sci Rep; 2022 Sep; 12(1):16427. PubMed ID: 36180777
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Real-time driver monitoring system with facial landmark-based eye closure detection and head pose recognition.
    Kim D; Park H; Kim T; Kim W; Paik J
    Sci Rep; 2023 Oct; 13(1):18264. PubMed ID: 37880264
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Faster R-CNN and Geometric Transformation-Based Detection of Driver's Eyes Using Multiple Near-Infrared Camera Sensors.
    Park SH; Yoon HS; Park KR
    Sensors (Basel); 2019 Jan; 19(1):. PubMed ID: 30621110
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Design of Fatigue Driving Behavior Detection Based on Circle Hough Transform.
    Huang AC; Yuan C; Meng SH; Huang TJ
    Big Data; 2023 Feb; 11(1):1-17. PubMed ID: 36787408
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.