Ajou University repository

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Showing results 1 to 10 of 2019 (Search time: 0.0 seconds).

Machine-learned wearable sensors for real-Time hand-motion recognition: Toward practical applicationsoa mark
  • Pyun, Kyung Rok;
  • Kwon, Kangkyu;
  • Yoo, Myung Jin;
  • Kim, Kyun Kyu;
  • Gong, Dohyeon;
  • Yeo, Woon Hong;
  • Han, Seungyong;
  • Ko, Seung Hwan
  • 2024-02-01
  • National Science Review, Vol.11
  • Oxford University Press
Machine Learning based Inference on Causality in Graphs
  • 이동기
  • 2021-02
  • The Graduate School, Ajou University
Machine Learning based Graph Enhancement by Complementation, Fusion, and Transferring
  • 남용현
  • 2019-08
  • The Graduate School, Ajou University
Machine learning iterative filtering algorithm for field defect detection in the process stage
  • 2022-11-01
  • Computers in Industry, Vol.142
  • Elsevier B.V.
DDoS Intrusions Detection in Low Power SD-IoT Devices Leveraging Effective Machine Learning
  • Ali, Jehad;
  • Song, Houbing Herbert;
  • Sharma, Vandana;
  • Al-Khasawneh, Mahmoud Ahmad
  • 2024-01-01
  • IEEE Transactions on Consumer Electronics
  • Institute of Electrical and Electronics Engineers Inc.
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
Fast Prediction for Criminal Suspects through Neighbor Mutual Information-Based Latent Networkoa mark
  • Jhee, Jong Ho;
  • Kim, Myung Jun;
  • Park, Myeonggeon;
  • Yeon, Jeongheun;
  • Shin, Hyunjung
  • 2023-01-01
  • International Journal of Intelligent Systems, Vol.2023
  • Wiley-Hindawi
Historical inference based on semi-supervised learningoa mark
  • 2018-09-15
  • Expert Systems with Applications, Vol.106, pp.121-131
  • Elsevier Ltd
Assessment of construction workers’ perceived risk using physiological data from wearable sensors: A machine learning approach
  • 2021-10-01
  • Journal of Building Engineering, Vol.42
  • Elsevier Ltd
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