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Search: "[ keyword: Time Series ]" (16)
    Daily Stock Price Prediction Using Fuzzy Model
    Hee Soo Hwang The KIPS Transactions:PartB , Vol. 15, No. 6, pp. 603-608, Dec. 2008
    10.3745/KIPSTB.2008.15.6.603


    Efficient Similarity Search in Multi-attribute Time Series Databases
    Sang Jun Lee The KIPS Transactions:PartD, Vol. 14, No. 7, pp. 727-732, Dec. 2007
    10.3745/KIPSTD.2007.14.7.727


    SViT: A Novel Multimodal Learning Approach for Ship Distance Estimation via Time-Series Data Visualization
    Sun Choi, Jeongmin Choi, Hyunbae Chang, Jhonghyun An The Transactions of the Korea Information Processing Society, Vol. 14, No. 3, pp. 203-213, Mar. 2025
    https://doi.org/10.3745/TKIPS.2025.14.3.203
    Keywords: Underwater Ship Estimation, multivariate time series forecasting, Multimodal, Vision Transformer (ViT)


    Solar Power Generation Forecasting using a Hybrid LSTM-Linear Model with Multi-Head Attention
    Hyeonseok Jin, David J. Richter, MD Ilias Bappi, Kyungbaek Kim The Transactions of the Korea Information Processing Society, Vol. 14, No. 2, pp. 123-133, Feb. 2025
    https://doi.org/10.3745/TKIPS.2025.14.2.123
    Keywords: Solar Power Prediction, Power generation, prediction, Time Series, Deep Learning


    Detection of Abnormal CAN Messages Using Periodicity and Time Series Analysis
    Se-Rin Kim, Ji-Hyun Sung, Beom-Heon Youn, Harksu Cho The Transactions of the Korea Information Processing Society, Vol. 13, No. 9, pp. 395-403, Sep. 2024
    https://doi.org/10.3745/TKIPS.2024.13.9.395  
    Keywords: CAN, GRU, Anomaly Detection, Time Series, Machine Learning


    Development of a Deep Learning-based Midterm PM2.5 Prediction Model Adapting to Trend Changes
    Dong Jun Min, Hyerim Kim, Sangkyun Lee The Transactions of the Korea Information Processing Society, Vol. 13, No. 6, pp. 251-259, Jun. 2024
    https://doi.org/10.3745/TKIPS.2024.13.6.251
    Keywords: Particulate Matter, PM2.5, Time Series Forecast, Deep Learning, Ensemble


    Temporal Fusion Transformers and Deep Learning Methodsfor Multi-Horizon Time Series Forecasting
    InKyung Kim, DaeHee Kim, Jaekoo Lee KIPS Transactions on Software and Data Engineering, Vol. 11, No. 2, pp. 81-86, Feb. 2022
    https://doi.org/10.3745/KTSDE.2022.11.2.81
    Keywords: Time Series, Multi-variate Data Analysis, Multi-horizon Forecasting, Deep Learning, Neural Networks


    Style-Based Transformer for Time Series Forecasting
    Dong-Keon Kim, Kwangsu Kim KIPS Transactions on Software and Data Engineering, Vol. 10, No. 12, pp. 579-586, Dec. 2021
    https://doi.org/10.3745/KTSDE.2021.10.12.579
    Keywords: Time Series Forecasting, Transformer, Generative Decoder, Style Transfer


    Leased Line Traffic Prediction Using a Recurrent Deep Neural Network Model
    In-Gyu Lee, Mi-Hwa Song KIPS Transactions on Software and Data Engineering, Vol. 10, No. 10, pp. 391-398, Oct. 2021
    https://doi.org/10.3745/KTSDE.2021.10.10.391
    Keywords: Leased Line, Traffic Modeling, time series analysis, Deep Learning, RNN, LSTM


    Optimization of Post - Processing for Subsequence Matching in Time - Series Databases
    Sang Wook Kim The KIPS Transactions:PartD, Vol. 9, No. 4, pp. 555-560, Aug. 2002
    10.3745/KIPSTD.2002.9.4.555


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