• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

Digital Library


Search: "[ keyword: 머신러닝 ]" (18)
  1. 1. Generating Data and Applying Machine Learning Methods for Music Genre Classification
    Bit-Chan Eom, Dong-Hwi Cho, Choon-Sung Nam, Vol. 25, No. 4, pp. 57-64, Aug. 2024
    10.7472/jksii.2024.25.4.57
    Keywords: Music genre classification, Machine Learning, Music feature extraction, GTZAN, Support Vector Machine
  2. 2. A Study on Machine Learning-Based Real-Time Gesture Classification Using EMG Data
    Ha-Je Park, Hee-Young Yang, So-Jin Choi, Dae-Yeon Kim, Choon-Sung Nam, Vol. 25, No. 2, pp. 57-67, Apr. 2024
    10.7472/jksii.2024.25.2.57
    Keywords: EMG, Machine Learning, Real time gestuer classification, EMG data preprocessing
  3. 3. Research of PPI prediction model based on POST-TAVR ECG
  4. 4. Research on BGP dataset analysis and CyCOP visualization methods
    Jae-yeong Jeong, Kook-jin Kim, Han-sol Park, Ji-soo Jang, Dong-il Shin, Dong-kyoo Shin, Vol. 25, No. 1, pp. 177-188, Feb. 2024
    10.7472/jksii.2024.25.1.177
    Keywords: BGP, CyCOP Framework, Machine Learning, Cyber 3 Layer, Anomaly Detection
  5. 5. A Research on Adversarial Example-based Passive Air Defense Method against Object Detectable AI Drone
    Simun Yuk, Hweerang Park, Taisuk Suh, Youngho Cho, Vol. 24, No. 6, pp. 119-125, Dec. 2023
    10.7472/jksii.2023.24.6.119
    Keywords: object detectable drone, AI drone, Adversarial machine learning, swarm drone, air defense, base defense
  6. 6. A Machine Learning-based Popularity Prediction Model for YouTube Mukbang Content
    Beomgeun Seo, Hanjun Lee, Vol. 24, No. 6, pp. 49-55, Dec. 2023
    10.7472/jksii.2023.24.6.49
    Keywords: Machine Learning, YouTube, Mukbang, Popularity Prediction, Predictive model
  7. 7. A Study on Efficient AI Model Drift Detection Methods for MLOps
    Ye-eun Lee, Tae-jin Lee, Vol. 24, No. 5, pp. 17-27, Oct. 2023
    10.7472/jksii.2023.24.5.17
    Keywords: Artificail Inteligence, Machine Learning Model, Drift Detection, XAI, MLOps
  8. 8. Machine Learning-based hydrogen charging station energy demand prediction model
  9. 9. Cyberattack Goal Classification Based on MITRE ATT&CK: CIA Labeling
    Chan Ho Shin, Chang-hee Choi, Vol. 23, No. 6, pp. 15-26, Dec. 2022
    10.7472/jksii.2022.23.6.15
    Keywords: Labeling, Machine Learning, Deep Learning, MITRE ATT&CK, TTP, CIA triad
  10. 10. A study on machine learning-based defense system proposal through web shell collection and analysis
    Ki-hwan Kim, Yong-tae Shin, Vol. 23, No. 4, pp. 87-94, Aug. 2022
    10.7472/jksii.2022.23.4.87
    Keywords: Web Service, WebShell attack, Machine Learning, WebShell collection and analysis, Defense System