Digital Library
Search: "[ keyword: PRED ]" (116)
Pedestrian Road-Crossing Prediction and Safety Enhancement Using Fine-tuned VideoLLaMA2
Sung Hun Kim, Je-Seok Ham, Jinyoung Moon The Transactions of the Korea Information Processing Society,
Vol. 14, No. 1, pp. 32-40,
Jan.
2025
https://doi.org/10.3745/TKIPS.2025.14.1.32
Keywords: Pedestrian Road-Crossing Prediction, Pedestrian Safety, Multimodal Large Language Model, VideoLLaMA2, Fine-Tuning
https://doi.org/10.3745/TKIPS.2025.14.1.32
Keywords: Pedestrian Road-Crossing Prediction, Pedestrian Safety, Multimodal Large Language Model, VideoLLaMA2, Fine-Tuning
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
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
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
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
A Study for Enhancing the Criterion of the Software Cost Estimation
Kwon Ki-Tae, Byun Boon-Hee The KIPS Transactions:PartD,
Vol. 13, No. 6, pp. 715-822,
Oct.
2006
http://dx.doi.org/10.3745/KIPSTD.2006.13D.6.815
Keywords: Software Cost Estimation, Criterions of the Software Cost Estimation, Function Point, Value Adjustment Factor, MMRE, PRED
http://dx.doi.org/10.3745/KIPSTD.2006.13D.6.815
Keywords: Software Cost Estimation, Criterions of the Software Cost Estimation, Function Point, Value Adjustment Factor, MMRE, PRED
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
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
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
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)
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
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
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KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
