Digital Library
Search: "[ keyword: Deep Learning ]" (65)
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
Analysis of Research Trends in Deep Learning-Based Video Captioning
Lyu Zhi, Eunju Lee, Youngsoo Kim KIPS Transactions on Software and Data Engineering,
Vol. 13, No. 1, pp. 35-49,
Jan.
2024
https://doi.org/10.3745/KTSDE.2024.13.1.35
Keywords: Video Captioning, computer vision, Natural Language Processing, Deep Learning
https://doi.org/10.3745/KTSDE.2024.13.1.35
Keywords: Video Captioning, computer vision, Natural Language Processing, Deep Learning
Kernel-Based Video Frame Interpolation Techniques Using Feature Map Differencing
Dong-Hyeok Seo, Min-Seong Ko, Seung-Hak Lee, Jong-Hyuk Park KIPS Transactions on Software and Data Engineering,
Vol. 13, No. 1, pp. 17-27,
Jan.
2024
https://doi.org/10.3745/KTSDE.2024.13.1.17
Keywords: Deep Learning, Frame Differencing, Video Frame Interpolation, U-net
https://doi.org/10.3745/KTSDE.2024.13.1.17
Keywords: Deep Learning, Frame Differencing, Video Frame Interpolation, U-net
Development of Gas Type Identification Deep-learning Model through Multimodal Method
Seo Hee Ahn, Gyeong Yeong Kim, Dong Ju Kim KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 12, pp. 525-534,
Dec.
2023
https://doi.org/10.3745/KTSDE.2023.12.12.525
Keywords: AI, Deep Learning, Multimodal, Gas Detection, Gas Identification
https://doi.org/10.3745/KTSDE.2023.12.12.525
Keywords: AI, Deep Learning, Multimodal, Gas Detection, Gas Identification
Research on ITB Contract Terms Classification Model for Risk Management in EPC Projects: Deep Learning-Based PLM Ensemble Techniques
Hyunsang Lee, Wonseok Lee, Bogeun Jo, Heejun Lee, Sangjin Oh, Sangwoo You, Maru Nam, Hyunsik Lee KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 11, pp. 471-480,
Nov.
2023
https://doi.org/10.3745/KTSDE.2023.12.11.471
Keywords: EPC Projects, ITB Documents, Deep Learning, PLM, ELECTRA
https://doi.org/10.3745/KTSDE.2023.12.11.471
Keywords: EPC Projects, ITB Documents, Deep Learning, PLM, ELECTRA
A Study on Korean Speech Animation Generation Employing Deep Learning
Suk Chan Kang, Dong Ju Kim KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 10, pp. 461-470,
Oct.
2023
https://doi.org/10.3745/KTSDE.2023.12.10.461
Keywords: Speech animation, Deep Learning, Viseme, Co-articulation, Blendshape
https://doi.org/10.3745/KTSDE.2023.12.10.461
Keywords: Speech animation, Deep Learning, Viseme, Co-articulation, Blendshape
Deep Learning-Based Dynamic Scheduling with Multi-Agents Supporting Scalability in Edge Computing Environments
JongBeom Lim KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 9, pp. 399-406,
Sep.
2023
https://doi.org/10.3745/KTSDE.2023.12.9.399
Keywords: Dynamic Scheduling, Deep Learning, Cloud computing, Edge Cloud, Multi-agent
https://doi.org/10.3745/KTSDE.2023.12.9.399
Keywords: Dynamic Scheduling, Deep Learning, Cloud computing, Edge Cloud, Multi-agent
Predicting the Number of Confirmed COVID-19 Cases Using Deep Learning Models with Search Term Frequency Data
Sungwook Jung KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 9, pp. 387-398,
Sep.
2023
https://doi.org/10.3745/KTSDE.2023.12.9.387
Keywords: Deep Learning Algorithms, Number of Confirmed COVID-19 Cases, Search Term Frequency Data, Time-Series Data
https://doi.org/10.3745/KTSDE.2023.12.9.387
Keywords: Deep Learning Algorithms, Number of Confirmed COVID-19 Cases, Search Term Frequency Data, Time-Series Data
General Relation Extraction Using Probabilistic Crossover
Je-Seung Lee, Jae-Hoon Kim KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 8, pp. 371-380,
Aug.
2023
https://doi.org/10.3745/KTSDE.2023.12.8.371
Keywords: Relation Extraction, Deep Learning, pre-trained language model, Probabilistic Crossover
https://doi.org/10.3745/KTSDE.2023.12.8.371
Keywords: Relation Extraction, Deep Learning, pre-trained language model, Probabilistic Crossover
A Study on Peak Load Prediction Using TCN Deep Learning Model
Lee Jung Il KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 6, pp. 251-258,
Jun.
2023
https://doi.org/10.3745/KTSDE.2023.12.6.251
Keywords: Peak Load Prediction, Artificial neural network, Deep Learning, Hyper Parameter Optimization
https://doi.org/10.3745/KTSDE.2023.12.6.251
Keywords: Peak Load Prediction, Artificial neural network, Deep Learning, Hyper Parameter Optimization
Indexing
All publications of KTSDE is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
