Open Access
Issue
ITM Web Conf.
Volume 70, 2025
2024 2nd International Conference on Data Science, Advanced Algorithm and Intelligent Computing (DAI 2024)
Article Number 02024
Number of page(s) 7
Section Machine Learning in Healthcare and Finance
DOI https://doi.org/10.1051/itmconf/20257002024
Published online 23 January 2025
  1. Y. Qiu, J. Wang, Z. Jin, H. Chen, M. Zhang, & L. Guo, Pose-guided matching based on deep learning for assessing quality of action on rehabilitation training. Biomedical Signal Processing and Control, 72, 103323 (2022). [CrossRef] [Google Scholar]
  2. K. A. Tran, O. Kondrashova, A. Bradley, E. D. Williams, J. V. Pearson & N. Waddell Deep learning in cancer diagnosis, prognosis and treatment selection. Genome Medicine, 13, 1-17 (2021). [CrossRef] [Google Scholar]
  3. Z. Liu, Z. Zhang, Z. Lei, M. Omura, R. L. Wang & S. Gao, Dendritic deep learning for medical segmentation. IEEE/CAA Journal of Automatica Sinica, 11(3), 803–805 (2024). [CrossRef] [Google Scholar]
  4. K. Lee, J. H. Kim, H. Hong, Y. Jeong, H. Ryu, H. Kim & S. U. Lee, Deep learning model for classifying shoulder pain rehabilitation exercises using IMU sensor. Journal of NeuroEngineering and Rehabilitation, 21 (1), 42 (2024). [CrossRef] [Google Scholar]
  5. E. Rho, H. Lee, Y. Lee, K. D. Lee, J. Mun, M. Kim, … & S. Jo, Multiple hand posture rehabilitation system using vision-based intention detection and soft-robotic glove. IEEE Transactions on Industrial Informatics (2024). [Google Scholar]
  6. L. Liu, J. Li, Z. Tian, X. Hu, H. Wu, X. Chen, … & W. Ou-Yang, Self-powered porous polymer sensors with high sensitivity for machine learning-assisted motion and rehabilitation monitoring. Nano Energy, 128, 109817 (2024). [CrossRef] [Google Scholar]
  7. V. Venkataraman, I. Vlachos & P. K. Turaga, Dynamical Regularity for Action Analysis. In BMVC (Vol. 67, pp. 1–12) (2015). [Google Scholar]
  8. O. Giggins, D. Kelly & B. Caulfield, Evaluating rehabilitation exercise performance using a single inertial measurement unit. In 2013 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops (pp. 49–56). IEEE (2013). [Google Scholar]
  9. T. Szandata, Review and comparison of commonly used activation functions for deep neural networks. Bio-inspired neurocomputing, 203–224 (2021). [CrossRef] [Google Scholar]
  10. K. Weiss, T. M. Khoshgoftaar, & D. Wang. A survey of transfer learning. Journal of Big data, 3, 1-40 (2016). [CrossRef] [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.