Digital Library
Search: "[ keyword: 머신러닝 ]" (18)
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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 -
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 -
InSeo Song, SeMo Yang, KangYoon Lee, Vol. 25, No. 2, pp. 29-38, Apr. 2024
10.7472/jksii.2024.25.2.29
Keywords: Machine Learning, Transcatheter Aortic Valve Replacement(TAVR), Permanent Pacemaker Implantation(PPI) -
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 -
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 -
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 -
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 -
MinWoo Hwang, Yerim Ha, Sanguk Park, Vol. 24, No. 2, pp. 47-56, Apr. 2023
10.7472/jksii.2023.24.2.47
Keywords: Smart hydrogen energy, carbon neutrality, energy demand forecasting, Machine Learning, hydrogen charging station -
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. 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