Digital Library
Search: "[ keyword: CNN ]" (8)
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
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
https://doi.org/10.3745/TKIPS.2024.13.9.444
Keywords: Layer Importance Evaluation, transfer learning model, CNN Optimization, Real-Time Fire Detection, Contribution
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
https://doi.org/10.3745/TKIPS.2024.13.2.41
Keywords: Pipe Leak Detection, Deep Learning, 1D CNN, feature fusion, Transfer Learning
Effect Analysis of Data Imbalance for Emotion Recognition Based on Deep Learning
Hajin Noh, Yujin Lim KIPS Transactions on Computer and Communication Systems,
Vol. 12, No. 8, pp. 235-242,
Aug.
2023
10.3745/KTCCS.2023.12.8.235
Keywords: Biased Data, XAI, LIME, Emotional Recognition, CNN
10.3745/KTCCS.2023.12.8.235
Keywords: Biased Data, XAI, LIME, Emotional Recognition, CNN
Teacher-Student Architecture Based CNN for Action Recognition
Yulan Zhao, Hyo Jong Lee KIPS Transactions on Computer and Communication Systems,
Vol. 11, No. 3, pp. 99-104,
Mar.
2022
https://doi.org/10.3745/KTCCS.2022.11.3.99
Keywords: Two-Stream Network, Teacher-Student Architecture, CNN, optical flow, Action Recognition
https://doi.org/10.3745/KTCCS.2022.11.3.99
Keywords: Two-Stream Network, Teacher-Student Architecture, CNN, optical flow, Action Recognition
CNN-Based Novelty Detection with Effectively Incorporating Document-Level Information
Seongung Jo, Heung-Seon Oh, Sanghun Im, Seonho Kim KIPS Transactions on Computer and Communication Systems,
Vol. 9, No. 10, pp. 231-238,
Oct.
2020
https://doi.org/10.3745/KTCCS.2020.9.10.231
Keywords: Deep Learning, CNN, Novelty Detection
https://doi.org/10.3745/KTCCS.2020.9.10.231
Keywords: Deep Learning, CNN, Novelty Detection
Fully Automatic Heart Segmentation Model Analysis Using Residual Multi-Dilated Recurrent Convolutional U-Net
Sang Heon Lim, Myung Suk Lee KIPS Transactions on Computer and Communication Systems,
Vol. 9, No. 2, pp. 37-44,
Feb.
2020
10.3745/KTCCS.2020.9.2.37
Keywords: Deep Learning, Artificial intelligence, Heart Segmentation, algorithm, ANN, CNN
10.3745/KTCCS.2020.9.2.37
Keywords: Deep Learning, Artificial intelligence, Heart Segmentation, algorithm, ANN, CNN
CNN Architecture Predicting Movie Rating from Audience’s Reviews Written in Korean
Hyungchan Kim, Heung-Seon Oh, Duksu Kim KIPS Transactions on Computer and Communication Systems,
Vol. 9, No. 1, pp. 17-24,
Jan.
2020
10.3745/KTCCS.2020.9.1.17
Keywords: NLP, CNN, Movie Rating, Un-Normalized Text Data
10.3745/KTCCS.2020.9.1.17
Keywords: NLP, CNN, Movie Rating, Un-Normalized Text Data
Indexing
All publications of KTCCS is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTCCS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
