Digital Library
Search: "[ keyword: Learning ]" (152)
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31. A study on machine learning-based defense system proposal through web shell collection and analysisKi-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 -
32. Efficient distributed consensus optimization based on patterns and groups for federated learningSeung Ju Kang, Ji Young Chun, Geontae Noh, Ik Rae Jeong, Vol. 23, No. 4, pp. 73-85, Aug. 2022
10.7472/jksii.2022.23.4.73
Keywords: Federated learning, Optimization, Weight model, Communication time, Privacy, ADMM -
33. Deep Learning Based Rescue Requesters Detection Algorithm for Physical Security in Disaster SitesDa-hyeon Kim, Man-bok Park, Jun-ho Ahn, Vol. 23, No. 4, pp. 57-64, Aug. 2022
10.7472/jksii.2022.23.4.57
Keywords: Risk of building, Physical Security, Deep Learning, Disaster sites, Object Detection -
Hyun Ahn, Baekcheol Jang, Vol. 23, No. 4, pp. 45-55, Aug. 2022
10.7472/jksii.2022.23.4.45
Keywords: Cryptocurrency, Price Prediction, Machine Learning -
Ji Hyung Yoon, Jaewon Chung, Beakcheol Jang, Vol. 23, No. 4, pp. 21-33, Aug. 2022
10.7472/jksii.2022.23.4.21
Keywords: Recommender System, RNN, CNN, GAN, Deep Learning, sequence modeling -
Chang-Hyeon Lee, Sung-Yoon Cho, Ki-Won Kwon, Tae-Ho Im, Vol. 23, No. 4, pp. 11-19, Aug. 2022
10.7472/jksii.2022.23.4.11
Keywords: Deep Learning, explosive classification, abnormality detection system -
Gwang-Su Lee, Vol. 23, No. 3, pp. 125-135, Jun. 2022
10.7472/jksii.2022.23.3.125
Keywords: Machine Learning, Random Forest, XGBoost, LightGBM, CatBoost, Government Statistical Indicators -
Seung-hoo Hong, KangYoon Lee, Vol. 23, No. 3, pp. 97-110, Jun. 2022
10.7472/jksii.2022.23.3.97
Keywords: federated-learning, Framework, Open Source, effective development environment, MLOps -
Hyun-bin Kim, Jun-Chul Chun, Vol. 23, No. 3, pp. 35-45, Jun. 2022
10.7472/jksii.2022.23.3.35
Keywords: Anomaly Detection, X-Ray image, active learning, unsupervision, Deep Learning -
Jun-Hyeok Choi, Mun-Suk Kim, Vol. 23, No. 3, pp. 13-20, Jun. 2022
10.7472/jksii.2022.23.3.13
Keywords: mmWave, 802.11ay, beamforming, MU-MIMO, Deep Learning