Digital Library
Search: "[ keyword: PRED ]" (123)
Health Evaluation for Collaborative Robot Using Vision-Based Motion Data
Hui Chan Yang, M in Seo Choi, Jin Se Kim, Jung won Lee The Transactions of the Korea Information Processing Society,
Vol. 15, No. 2, pp. 146-159,
Feb.
2026
https://doi.org/10.3745/TKIPS.2026.15.2.146
Keywords: Collaborative Robot, predictive maintenance, Health Evaluation, Vision Data
https://doi.org/10.3745/TKIPS.2026.15.2.146
Keywords: Collaborative Robot, predictive maintenance, Health Evaluation, Vision Data
RMSSD-Based Risk Prediction Using Wearable Sensor
Ha-Neul Kim, Young-Seob Jeong, Jeung-Im Kim The Transactions of the Korea Information Processing Society,
Vol. 15, No. 2, pp. 139-145,
Feb.
2026
https://doi.org/10.3745/TKIPS.2026.15.2.139
Keywords: Heart Rate Variability, Wearable Devices, Time-Series Forecasting, Machine Learning, Risk Prediction
https://doi.org/10.3745/TKIPS.2026.15.2.139
Keywords: Heart Rate Variability, Wearable Devices, Time-Series Forecasting, Machine Learning, Risk Prediction
Predictive Data Analysis-Based Modeling of Electric Vehicle Future Driving Range
Heeseo Jeong, Dajeong Lee, Kyujin Cho, Charmgil Hong The Transactions of the Korea Information Processing Society,
Vol. 15, No. 1, pp. 21-27,
Jan.
2026
10.3745/TKIPS.2026.15.1.21
Keywords: Electric vehicle, Battery Management System, Range Prediction, Battery Degradation, Feature Tokenizer Transformer
10.3745/TKIPS.2026.15.1.21
Keywords: Electric vehicle, Battery Management System, Range Prediction, Battery Degradation, Feature Tokenizer Transformer
Deep Learning-Based Non-Linear Prediction of Remaining Useful Life of Aircraft Engines
Min-Jung Kim, Kang-Won Lee The Transactions of the Korea Information Processing Society,
Vol. 14, No. 12, pp. 1097-1104,
Dec.
2025
10.3745/TKIPS.2025.14.12.1097
Keywords: Remaining useful life prediction, Prognostics and Health Management (PHM), Deep Learning, Aircraft Turbofan Engines, C-MAPSS Dataset
10.3745/TKIPS.2025.14.12.1097
Keywords: Remaining useful life prediction, Prognostics and Health Management (PHM), Deep Learning, Aircraft Turbofan Engines, C-MAPSS Dataset
A Deep Learning-Based Real-Time Vehicle Stop Prediction Method Using Velocity Trend Regression
Seung Hwan Cheon, Soo Hyung Kim The Transactions of the Korea Information Processing Society,
Vol. 14, No. 8, pp. 617-626,
Aug.
2025
https://doi.org/10.3745/TKIPS.2025.14.8.617
Keywords: Illegal parking, Backstreets, object tracking, Vehicle stopping, stop prediction
https://doi.org/10.3745/TKIPS.2025.14.8.617
Keywords: Illegal parking, Backstreets, object tracking, Vehicle stopping, stop prediction
Multi-Modal Deep Learning for COVID-19 Severity Assessment via Gene Expression and Clinical Data Integration
Soojung Ha, Juho Park, Kyuri Jo The Transactions of the Korea Information Processing Society,
Vol. 14, No. 7, pp. 548-554,
Jul.
2025
https://doi.org/10.3745/TKIPS.2025.14.7.548
Keywords: Multi-Modal Deep Learning, COVID-19 Severity Prediction, Gene Expression Analysis, Clinical Data
https://doi.org/10.3745/TKIPS.2025.14.7.548
Keywords: Multi-Modal Deep Learning, COVID-19 Severity Prediction, Gene Expression Analysis, Clinical Data
A Study on Machine Learning -based River Water Level Prediction Model for Flood Prevention
DeokHyun You, Heesun Roh, Suyeon Lim, Seongbok Baik, Yong-Geun Hong The Transactions of the Korea Information Processing Society,
Vol. 14, No. 6, pp. 431-450,
Jun.
2025
https://doi.org/10.3745/TKIPS.2025.14.6.431
Keywords: River Water Level Prediction, Flood Prediction, Machine Learning-based Predcition Models
https://doi.org/10.3745/TKIPS.2025.14.6.431
Keywords: River Water Level Prediction, Flood Prediction, Machine Learning-based Predcition Models
Transformer-based Short-term Drought Prediction with Feature Selection
Seo Jae Hyun The Transactions of the Korea Information Processing Society,
Vol. 14, No. 4, pp. 282-288,
Apr.
2025
https://doi.org/10.3745/TKIPS.2025.14.4.282
Keywords: Short-term Drought Prediction, Deep Learning, Machine Learning, Feature selection
https://doi.org/10.3745/TKIPS.2025.14.4.282
Keywords: Short-term Drought Prediction, Deep Learning, Machine Learning, Feature selection
Study of Pattern Compression based Big Data Processing System for Large Scale Log Data Analysis
Wonjib Kim, Hayoon Kim, Hyeopgeon Lee, Young-Woon Kim The Transactions of the Korea Information Processing Society,
Vol. 14, No. 4, pp. 265-272,
Apr.
2025
https://doi.org/10.3745/TKIPS.2025.14.4.265
Keywords: Big data, Big Data Processing Techniques, Patterned Structure Compression, Hadoop distributed file system, MapReduce
https://doi.org/10.3745/TKIPS.2025.14.4.265
Keywords: Big data, Big Data Processing Techniques, Patterned Structure Compression, Hadoop distributed file system, MapReduce
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
https://doi.org/10.3745/TKIPS.2025.14.2.123
Keywords: Solar Power Prediction, Power generation, prediction, Time Series, Deep Learning
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KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
