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
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
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
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
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
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
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)
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
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
Keywords: Reservoir Water Level Prediction, Fully Connected Neural Network, Multivariate Inputs