Digital Library


Search: "[ keyword: prediction ]" (84)
    Kalman filter based Motion Vector Recovery for H.264
    Ki Hong Ko , Seong Whan Kim The KIPS Transactions:PartD, Vol. 14, No. 7, pp. 801-808, Dec. 2007
    10.3745/KIPSTD.2007.14.7.801


    Super-Resolution Model Based on Wavelet Domain Loss for Improving Wind Speed Forecasting Accuracy
    Wonji Jo, Sung-wook Park, Yong-seok Kim, Se-hoon Jung, Chun-bo Sim The Transactions of the Korea Information Processing Society, Vol. 13, No. 12, pp. 710-718, Dec. 2024
    https://doi.org/10.3745/TKIPS.2024.13.12.710
    Keywords: super-resolution, Image restoration, GAN, wavelet transform, Wind Speed Prediction


    Prediction Remaining Useful Life of Aircraft Turbofans Using Transfer Learning Based CNN-LSTM
    Kim Jeong Min, Kang Hyeon Woo, Cho Young Ki, Kwon Gi Hyuk, An Seo Yeon, Kim Hun Kee The Transactions of the Korea Information Processing Society, Vol. 13, No. 12, pp. 700-709, Dec. 2024
    https://doi.org/10.3745/TKIPS.2024.13.12.700
    Keywords: Prognostics and Health Management, Remaining useful life prediction, CNN-LSTM, Transfer Learning, C-MAPSS Dataset


    Cox Model Improvement Using Residual Blocks in Neural Networks: A Study on the Predictive Model of Cervical Cancer Mortality
    Nang Kyeong Lee, Joo Young Kim, Ji Soo Tak, Hyeong Rok Lee, Hyun Ji Jeon, Jee Myung Yang, Seung Won Lee The Transactions of the Korea Information Processing Society, Vol. 13, No. 6, pp. 260-268, Jun. 2024
    https://doi.org/10.3745/TKIPS.2024.13.6.260
    Keywords: Cervical cancer, Survival Prediction Model, Cox Proportional Hazards, Machine Learning, Deep Neural Networks, ResNet


    Dangerous Area Prediction Technique for Preventing Disaster based on Outside Sensor Network
    Jung Young-Jin, Kim Hak-Cheol, Ryu Keun-Ho The KIPS Transactions:PartD, Vol. 13, No. 6, pp. 775-788, Oct. 2006
    http://dx.doi.org/10.3745/KIPSTD.2006.13D.6.775
    Keywords: Prevention of Disasters, Sensor network, Disaster Prevention System, Dangerous Area Prediction, Stream Processing


    Load Shedding via Predicting the Frequency of Tuple for Efficient Analsis over Data Streams
    Chang Joong-Hyuk The KIPS Transactions:PartD, Vol. 13, No. 6, pp. 755-764, Oct. 2006
    http://dx.doi.org/10.3745/KIPSTD.2006.13D.6.755
    Keywords: data stream, load shedding, Significant Tuple, Prediction of Frequency


    Software Defect Prediction Based on SAINT
    Sriman Mohapatra, Eunjeong Ju, Jeonghwa Lee, Duksan Ryu The Transactions of the Korea Information Processing Society, Vol. 13, No. 5, pp. 236-242, May. 2024
    https://doi.org/10.3745/TKIPS.2024.13.5.236
    Keywords: Transformer, SAINT, Software Defect Prediction


    Evaluating the Efficiency of Models for Predicting Seismic Building Damage
    Chae Song Hwa, Yujin Lim The Transactions of the Korea Information Processing Society, Vol. 13, No. 5, pp. 217-220, May. 2024
    https://doi.org/10.3745/TKIPS.2024.13.5.217  
    Keywords: Earthquake, Earthquake Damage Prediction, Machine Learning(ml)


    Sentiment Analysis of News Based on Generative AI and Real Estate Price Prediction: Application of LSTM and VAR Models
    Sua Kim, Mi Ju Kwon, Hyon Hee Kim The Transactions of the Korea Information Processing Society, Vol. 13, No. 5, pp. 209-216, May. 2024
    https://doi.org/10.3745/TKIPS.2024.13.5.209
    Keywords: Generated AI, Prediction of Real Estate Price, News Sentiment Index, Multi-head Attention LSTM, Vetor Auto Regression


    Analyzing the Impact of Multivariate Inputs on Deep Learning-Based Reservoir Level Prediction and Approaches for Mid to Long-Term Forecasting
    Hyeseung Park, Jongwook Yoon, Hojun Lee, Hyunho Yang The Transactions of the Korea Information Processing Society, Vol. 13, No. 4, pp. 199-207, Apr. 2024
    https://doi.org/10.3745/TKIPS.2024.13.4.199
    Keywords: Reservoir Water Level Prediction, Fully Connected Neural Network, Multivariate Inputs