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Chao-hsien Chu

    • 2605 Citations
    • 29 h-Index
    1986 …2019
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    Fingerprint Dive into the research topics where Chao-hsien Chu is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

    Cellular manufacturing Engineering & Materials Science
    Radio frequency identification (RFID) Engineering & Materials Science
    Genetic algorithms Engineering & Materials Science
    Access control Engineering & Materials Science
    Mathematical programming Engineering & Materials Science
    Authentication Engineering & Materials Science
    Supply chains Engineering & Materials Science
    Data mining Engineering & Materials Science

    Network Recent external collaboration on country level. Dive into details by clicking on the dots.

    Research Output 1986 2019

    Detection of Atrial Fibrillation from Short ECG Signals Using a Hybrid Deep Learning Model

    Wu, X., Sui, Z., Chu, C. H. & Huang, G., Jan 1 2019, Smart Health - International Conference, ICSH 2019, Proceedings. Chen, H., Zeng, D., Yan, X. & Xing, C. (eds.). Springer, p. 269-282 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11924 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Atrial Fibrillation
    Hybrid Learning
    Electrocardiography
    Memory Term
    Convolution

    Modeling multi-stage healthcare systems with service interactions under blocking for bed allocation

    Wu, X., Li, J. & Chu, C. H., Nov 1 2019, In : European Journal of Operational Research. 278, 3, p. 927-941 15 p.

    Research output: Contribution to journal › Article

    Healthcare
    Blocking probability
    Blocking Probability
    Interaction
    Modeling

    PbFG: Physique-based fuzzy granular modeling for non-invasive blood glucose monitoring

    Liu, W., Huang, A., Wang, P. & Chu, C. H., Sep 2019, In : Information Sciences. 497, p. 56-76 21 p.

    Research output: Contribution to journal › Article

    Glucose
    Blood
    Monitoring
    Modeling
    Individual Differences

    Probability model transforming encoders against encoding attacks

    Cheng, H., Zheng, Z., Li, W., Wang, P. & Chu, C. H., Jan 1 2019, Proceedings of the 28th USENIX Security Symposium. USENIX Association, p. 1573-1590 18 p. (Proceedings of the 28th USENIX Security Symposium).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Encoding (symbols)
    Cryptography

    Using Deep Learning and Smartphone for Automatic Detection of Fall and Daily Activities

    Wu, X., Cheng, L., Chu, C. H. & Kim, J., Jan 1 2019, Smart Health - International Conference, ICSH 2019, Proceedings. Chen, H., Zeng, D., Yan, X. & Xing, C. (eds.). Springer, p. 61-74 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11924 LNCS).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    Smartphones
    Learning systems
    Machine Learning
    Memory Term
    Health