Digital Library
Search: "[ keyword: prediction ]" (37)
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Xuefei Li, Changqing Liu, Shuqi Liu, and Sheng Miao
Vol. 21, No. 2, pp. 193-203, Apr. 2025
10.3745/JIPS.04.0344
Keywords: Airflow Prediction, Decision support, Machine Learning, Wastewater treatment plant -
Jihong Kim, Nammee Moon
Vol. 20, No. 6, pp. 812-826, Dec. 2024
10.3745/JIPS.01.0110
Keywords: Big Data Processing and Analysis, Credit Risk Prediction, Deep Learning, Explainable AI -
Yang Yang, Shengbo Hu, Guiju Lu
Vol. 20, No. 1, pp. 131-147, Feb. 2024
10.3745/JIPS.03.0193
Keywords: Gradient Boosting Regression Tree Cache Allocation, Low-Earth Orbit Satellite, inter-satellite links, Spatialand Temporal Correlation, traffic prediction -
Dayou Jiang
Vol. 19, No. 4, pp. 498-512, Aug. 2023
10.3745/JIPS.04.0282
Keywords: Classification, Competitive Strategy, Correlation Analysis, Descriptive Statistics, Magazines, Newspapers, prediction -
Huihui Xu, Fei Li
Vol. 18, No. 6, pp. 794-802, Dec. 2022
10.3745/JIPS.02.0187
Keywords: Attention Mechanism, Depth Prediction, feature fusion, Multi-scale features -
Ruibo Ai, Cheng Li, Na Li
Vol. 18, No. 6, pp. 719-728, Dec. 2022
10.3745/JIPS.02.0185
Keywords: Artificial bee colony algorithm, Optimization, prediction algorithm, Short-time Traffic Flow, Support Vector Regression -
Li Gong, Xuelei Gong, Ying Liang, Bingzong Zhang, Yiqun Yang
Vol. 18, No. 4, pp. 457-469, Aug. 2022
10.3745/JIPS.04.0247
Keywords: Durability, Grey Residuals, Hydraulic Concrete, Lifespan Prediction, Markov -
Seongbin Lee, Seunghee Lee, Duhyeuk Chang, Mi-Hwa Song, Jong-Yeup Kim, Suehyun Lee
Vol. 18, No. 3, pp. 302-310, Jun. 2022
10.3745/JIPS.04.0243
Keywords: Explainable AI, Feature Importance Analysis, LightGBM, Partial Dependence Plot, prediction, Transfusion -
Weixin Yao, Dan Yang
Vol. 18, No. 2, pp. 235-244, Apr. 2022
10.3745/JIPS.02.0170
Keywords: Inter-prediction, mode decision, Spatial-Temporal Correlation -
Syed Nazir Hussain, Azlan Abd Aziz, Md. Jakir Hossen, Nor Azlina Ab Aziz, G. Ramana Murthy, Fajaruddin Bin Mustakim
Vol. 18, No. 1, pp. 115-129, Feb. 2022
10.3745/JIPS.04.0235
Keywords: CNN-LSTM Neural Network, Electricity Consumption Prediction, Large Gaps of Missing Values, Prediction of Missing Values in Time-Series Data, smart home system