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Search: "[ keyword: Transfer Learning ]" (8)
A Study on Classifying Automotive Pedal Dashcam Images Using Transfer Learning
JongBeom Lim, HeeSeok Choi The Transactions of the Korea Information Processing Society,
Vol. 14, No. 2, pp. 104-112,
Feb.
2025
https://doi.org/10.3745/TKIPS.2025.14.2.104
Keywords: Image Classification, Transfer Learning, Artificial intelligence, Sudden Acceleration Incidents

Keywords: Image Classification, Transfer Learning, Artificial intelligence, Sudden Acceleration Incidents
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
A Study on the Optimization of Fire Awareness Model Based on Convolutional Neural Network: Layer Importance Evaluation-Based Approach
Won Jin, Mi-Hwa Song The Transactions of the Korea Information Processing Society,
Vol. 13, No. 9, pp. 444-452,
Sep.
2024
https://doi.org/10.3745/TKIPS.2024.13.9.444
Keywords: Layer Importance Evaluation, transfer learning model, CNN Optimization, Real-Time Fire Detection, Contribution

Keywords: Layer Importance Evaluation, transfer learning model, CNN Optimization, Real-Time Fire Detection, Contribution
Korean Ironic Expression Detector
Seung Ju Bang, Yo-Han Park, Jee Eun Kim, Kong Joo Lee The Transactions of the Korea Information Processing Society,
Vol. 13, No. 3, pp. 148-155,
Mar.
2024
https://doi.org/10.3745/TKIPS.2024.13.3.148
Keywords: Irony Detection, KoBERT, ChatGPT, Transfer Learning, MultiTask Learning

Keywords: Irony Detection, KoBERT, ChatGPT, Transfer Learning, MultiTask Learning
A Study on Leakage Detection Technique Using Transfer Learning-Based Feature Fusion
YuJin Han, Tae-Jin Park, Jonghyuk Lee, Ji-Hoon Bae The Transactions of the Korea Information Processing Society,
Vol. 13, No. 2, pp. 41-47,
Feb.
2024
https://doi.org/10.3745/TKIPS.2024.13.2.41
Keywords: Pipe Leak Detection, Deep Learning, 1D CNN, feature fusion, Transfer Learning

Keywords: Pipe Leak Detection, Deep Learning, 1D CNN, feature fusion, Transfer Learning
Korean Morphological Analysis Method Based on BERT-Fused Transformer Model
Changjae Lee, Dongyul Ra KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 4, pp. 169-178,
Apr.
2022
https://doi.org/10.3745/KTSDE.2022.11.4.169
Keywords: Natural Language Processing, Morphological Analysis, Transfer Learning, Transformer, BERT-fused Model

Keywords: Natural Language Processing, Morphological Analysis, Transfer Learning, Transformer, BERT-fused Model
Bayesian Optimization Framework for Improved Cross-Version Defect Prediction
Jeongwhan Choi, Duksan Ryu KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 9, pp. 339-348,
Sep.
2021
https://doi.org/10.3745/KTSDE.2021.10.9.339
Keywords: Software Defect Prediction, Bayesian Optimization, Transfer Learning, Cross-Version Defect Prediction

Keywords: Software Defect Prediction, Bayesian Optimization, Transfer Learning, Cross-Version Defect Prediction
Effective Harmony Search-Based Optimization of Cost-Sensitive Boosting for Improving the Performance of Cross-Project Defect Prediction
Duksan Ryu, Jongmoon Baik KIPS Transactions on Software and Data Engineering,
Vol. 7, No. 3, pp. 77-90,
Mar.
2018
10.3745/KTSDE.2018.7.3.77
Keywords: Cost-Sensitive Boosting, Cross-Project Defect Prediction, Harmony Search, Search-Based Software Engineering, Transfer Learning

Keywords: Cost-Sensitive Boosting, Cross-Project Defect Prediction, Harmony Search, Search-Based Software Engineering, Transfer Learning