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Search: "[ keyword: prediction ]" (18)

1. 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
2. Deep Prediction of Stock Prices with K-Means Clustered Data Augmentation

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
3. TGC-based Fish Growth Estimation Model using Gaussian Process Regression Approach

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
4. An Accurate Cryptocurrency Price Forecasting using Reverse Walk-Forward Validation

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
5. A Study on Defense and Attack Model for Cyber Command Control System based Cyber Kill Chain

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
6. Improved Slow Charge Scheme for non-communication Electric Vehiclesby Predicting Charge Demand

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
7. LSTM-based Business Process Remaining Time Prediction Model Featured in Activity-centric Normalization Techniques

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
8. A Study on the Anomaly Prediction System of Drone Using Big Data

Yang-Kyoo Lee, Jun-Ki Hong, Sung-Chan Hong, Vol. 21, No. 2, pp. 27-37, Apr. 2020
10.7472/jksii.2020.21.2.27
Keywords: Big data, Drones, Risk Prediction
9. Development and Comparison of Data Mining-based Prediction Models of Building Fire Probability

Sung-gwan Hong, Seung Ryul Jeong, Vol. 19, No. 6, pp. 101-112, Dec. 2018
10.7472/jksii.2018.19.6.101
Keywords: Fire probability prediction, fire risk, Data Mining
10. Improving an Ensemble Model by Optimizing Bootstrap Sampling

Sung-Hwan Min, Vol. 17, No. 2, pp. 49-58, Apr. 2016
10.7472/jksii.2016.17.2.49
Keywords: Bagging, Bankruptcy Prediction, Ensemble, Genetic Algorithms

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