Digital Library
Search: "[ keyword: prediction ]" (21)
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Jong-woo Ryu, Geon-hee Baek, Choon-Sung Nam, Vol. 26, No. 3, pp. 111-119, Jun. 2025
10.7472/jksii.2025.26.3.111
Keywords: Stock Price Prediction, LSTM, Features, Unidirectional, Bidirectional, RMSE -
Jung-Hyun Yang, Sang-uk Park, Vol. 25, No. 6, pp. 9-21, Dec. 2024
10.7472/jksii.2024.25.6.9
Keywords: TimesNet, solar power generation prediction, short-term prediction, Time Series Data, Energy Management, dimension transformation -
Si-yeon Jang, Hye-lim Choi, Yun-ju Oh, Vol. 25, No. 2, pp. 21-28, Apr. 2024
10.7472/jksii.2024.25.2.21
Keywords: Automonous driving, Performance prediction, Radar, Stacking Ensemble -
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 -
Kyounghoon Han, Huigyu Yang, Hyunseung Choo, Vol. 24, No. 2, pp. 67-74, Apr. 2023
10.7472/jksii.2023.24.2.67
Keywords: Stock Price Prediction, clustering, data augmentation, Deep Learning, Artificial intelligence -
Juhyoung Sung, Sungyoon Cho, Da-Eun Jung, Jongwon Kim, Jeonghwan Park, Kiwon Kwon, Young Myoung Ko, Vol. 24, No. 1, pp. 61-69, Feb. 2023
10.7472/jksii.2023.24.1.61
Keywords: Gaussian process, thermal growth coefficient, growth prediction model, growth data, Water Temperature -
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 -
Jung-Sik Lee, Sung-Young Cho, Heang-Rok Oh, Myung-Mook Han, Vol. 22, No. 1, pp. 41-50, Feb. 2021
10.7472/jksii.2021.22.1.41
Keywords: Cyber Command Control System, Cyber Kill Chain Model, Defense Model, attack model, threat classification/analysis/prediction framework -
Tae Uk Chang, Young Su Ryu, Ki Won Kwon, Jong Ho Paik, Vol. 21, No. 5, pp. 39-48, Oct. 2020
10.7472/jksii.2020.21.5.39
Keywords: Electric vehicle, charge schedule, distributed charge, demand prediction -
Seong-Hun Ham, Hyun Ahn, Kwanghoon Pio Kim, Vol. 21, No. 3, pp. 83-92, Jun. 2020
10.7472/jksii.2020.21.3.83
Keywords: predictive process monitoring, remaining time prediction, LSTM model, Deep Learning, Process Mining