Digital Library
Search: "[ keyword: MAC ]" (71)
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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 -
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 -
Sa Math, Prohim Tam, Seokhoon Kim, Vol. 23, No. 2, pp. 1-7, Apr. 2022
10.7472/jksii.2022.23.2.1
Keywords: Internet of Things, Quality of Service, Machine Learning, Mobile Edge Computing, Software-Defined Networking -
Changhee Han, Jong-Hwan Kim, Jinho Cha, Jongkwan Lee, Yunyoung Jung, Jinseon Park, Youngtaek Kim, Youngchan Kim, Jeeseung Ha, Kanguk Lee, Yoonsung Kim, Sungwan Bang, Vol. 23, No. 1, pp. 77-86, Feb. 2022
10.7472/jksii.2022.23.1.77
Keywords: Command Control, Surveillance, Artificial intelligence, C4I, Machine Learning & Training, Radar -
Hanjun Lee, Dongwon Shin, Hee-Eun Kim, Vol. 22, No. 5, pp. 79-86, Oct. 2021
10.7472/jksii.2021.22.5.79
Keywords: Firm value, Machine Learning, Online Review, Firm review, Jobplanet -
Dae Won Kim, Sun Wook Kim, Soo Cheol Oh, Vol. 22, No. 5, pp. 57-67, Oct. 2021
10.7472/jksii.2021.22.5.57
Keywords: Cloud computing, hybrid in-memory, Virtual Machine, Container -
Seungmin Jeong, Dongik Oh, Vol. 22, No. 3, pp. 9-16, Jun. 2021
10.7472/jksii.2021.22.3.9
Keywords: Activities of Daily Living, Human Activity Recognition, Smartwatch, Accelerometer, Machine Learning, Activity Classification, feature extraction, feature reduction -
DoYeong Jeon, Myeong Ho Song, Soo Dong Kim, Vol. 22, No. 1, pp. 65-77, Feb. 2021
10.7472/jksii.2021.22.1.65
Keywords: COVID-19, Machine Learning, clustering, Risk Analytics, Safe Activity Assistance -
Jong-kwan Lee, Vol. 22, No. 1, pp. 23-30, Feb. 2021
10.7472/jksii.2021.22.1.23
Keywords: Image Classification, Deep Learning, Machine Learning, Autoencoder, noise -
Yeongha Kim, Inhwan Kim, Beakcheol Jang, Vol. 21, No. 5, pp. 139-148, Oct. 2020
10.7472/jksii.2020.21.5.139
Keywords: Machine Learning, Predict infectious diseases, Web data, LSTM