Ajou University repository

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Frequency Domain Deep Learning with Non-Invasive Features for Intraoperative Hypotension Predictionoa mark
  • Moon, Jeong Hyeon;
  • Lee, Garam;
  • Lee, Seung Mi;
  • Ryu, Jiho;
  • Kim, Dokyoon;
  • Sohn, Kyung Ah
  • 2024-01-01
  • IEEE Journal of Biomedical and Health Informatics, Vol.28, pp.5718-5728
  • Institute of Electrical and Electronics Engineers Inc.
Association between intraoperative hypotension and postoperative myocardial injury in patients with prior coronary stents undergoing high-risk surgery: a retrospective study
  • Lee, Sang Hyun;
  • Kim, Jie Ae;
  • Heo, Burn Young;
  • Kim, Young Ri;
  • Ahn, Hyun Joo;
  • Yang, Mikyung;
  • Jang, Jaeni;
  • Ahn, Soohyun
  • 2020-04-01
  • Journal of Anesthesia, Vol.34, pp.257-267
  • Springer
CNN-based anomaly detection for packet payloads of industrial control systemoa mark
  • 2021-01-01
  • International Journal of Sensor Networks, Vol.36, pp.36-49
  • Inderscience Publishers
Comparison of anomaly detection accuracy of host-based intrusion detection systems based on different machine learning algorithmsoa mark
  • 2020-01-01
  • International Journal of Advanced Computer Science and Applications, pp.252-259
  • Science and Information Organization
Multimodel-based Detection Framework for Robust Industrial Control Systems
  • 이석준
  • 2017-02
  • The Graduate School, Ajou University
Online dense activity detectionoa mark
  • 2021-08-01
  • IET Computer Vision, Vol.15, pp.323-333
  • John Wiley and Sons Inc
An Effective Anomaly Detection Approach based on Hybrid Unsupervised Learning Technologies in NIDSoa mark
  • 2024-02-29
  • KSII Transactions on Internet and Information Systems, Vol.18, pp.494-510
  • Korean Society for Internet Information
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