Digital Library
Search: "[ keyword: PRED ]" (109)
Active Adjustment: An Approach for Improving the Search Performance of the TPR-tree
Sang Wook Kim , Min Hee Jang , Sung Chae Lim The KIPS Transactions:PartD,
Vol. 15, No. 4, pp. 451-462,
Aug.
2008
10.3745/KIPSTD.2008.15.4.451
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Efficient Evaluation of Shared Predicates for XForms Page Access Control
Eun Jung Lee The KIPS Transactions:PartD,
Vol. 15, No. 4, pp. 441-450,
Aug.
2008
10.3745/KIPSTD.2008.15.4.441
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
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
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
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://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
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
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
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
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
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
![](https://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
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://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
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://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
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://d2kjln74dkk4oj.cloudfront.net/img/doi_icon.png)
Keywords: Generated AI, Prediction of Real Estate Price, News Sentiment Index, Multi-head Attention LSTM, Vetor Auto Regression