A New Method for Detecting the Fatigue Using Automated Deep Learning Techniques for Medical Imaging Applications-Reference-Cited by-同舟云学术

A New Method for Detecting the Fatigue Using Automated Deep Learning Techniques for Medical Imaging Applications

Published:2024-03 Issue:2 Volume:135 Page:1009-1034
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Gnanadesigan Naveen Sundar^ORCID,Lincoln Grace Angela Abraham^ORCID,Dhanasegar Narmadha^ORCID,Muthusamy Suresh^ORCID,Kannan Deeba^ORCID,Balasubramanian Surendiran^ORCID,Bacanin Nebojsa^ORCID,Sadasivuni Kishor Kumar^ORCID

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11277-024-11102-6.pdf

Reference49 articles.

1. Shi, J., & Wang, K. (2023). Fatigue driving detection method based on time-space-frequency features of multimodal signals. Biomedical Signal Processing and Control, 84, 104744. https://doi.org/10.1016/j.bspc.2023.104744

2. Liu, Z., Peng, Y., & Wenjin, Hu. (2020). Driver fatigue detection based on deeply-learned facial expression representation. Journal of Visual Communication and Image Representation, 71, 102723. https://doi.org/10.1016/j.jvcir.2019.102723

3. Wang, F., Shichao, Wu., Zhang, W., Zongfeng, Xu., Zhang, Y., & Chu, H. (2020). Multiple nonlinear features fusion based driving fatigue detection. Biomedical Signal Processing, and Control, 62, 102075. https://doi.org/10.1016/j.bspc.2020.102075

4. Jia, H., Xiao, Z., & Ji, P. (2022). Real-time fatigue driving detection system based on multi-module fusion. Computers & Graphics, 108, 22–33. https://doi.org/10.1016/j.cag.2022.09.001

5. Jia, H., Xiao, Z., & Ji, P. (2023). End-to-end fatigue driving EEG signal detection model based on improved temporal-graph convolution network. Computers in Biology and Medicine, 152, 106431. https://doi.org/10.1016/j.compbiomed.2022.106431

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An Extensive Review on Emerging Advancements in Thermography and Convolutional Neural Networks for Breast Cancer Detection;Wireless Personal Communications;2024-07-09