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Search: "[ keyword: Deep Learning ]" (70)
Lightweighting Techniques to Improve Real-time Recognition Performance of License Plate Using IP Cameras with Low-end NPUs
Ju-Hwan Han, Gye-Young Kim The Transactions of the Korea Information Processing Society,
Vol. 13, No. 11, pp. 645-653,
Nov.
2024
https://doi.org/10.3745/TKIPS.2024.13.11.645
Keywords: Lightweighting, Deep Learning, Vehicle Number Recognition, Performance Improvement, Real-Time
https://doi.org/10.3745/TKIPS.2024.13.11.645
Keywords: Lightweighting, Deep Learning, Vehicle Number Recognition, Performance Improvement, Real-Time
A Deep Learning System for Emotional Cat Sound Classification and Generation
Joo Yong Shim, SungKi Lim, Jong-Kook Kim The Transactions of the Korea Information Processing Society,
Vol. 13, No. 10, pp. 492-496,
Oct.
2024
https://doi.org/10.3745/TKIPS.2024.13.10.492
Keywords: Audio Classification, Audio Generation, Animal Emotion Recognition, SampleRNN, Deep Learning System
https://doi.org/10.3745/TKIPS.2024.13.10.492
Keywords: Audio Classification, Audio Generation, Animal Emotion Recognition, SampleRNN, Deep Learning System
Personalized Cross-Domain Recommendation of Books Based on Video Consumption Data
Yea Bin Lim, Hyon Hee Kim The Transactions of the Korea Information Processing Society,
Vol. 13, No. 8, pp. 382-387,
Aug.
2024
https://doi.org/10.3745/TKIPS.2024.13.8.382
Keywords: Cross Domain, hybrid recommendation system, Word2vec, Personalization, Deep Learning
https://doi.org/10.3745/TKIPS.2024.13.8.382
Keywords: Cross Domain, hybrid recommendation system, Word2vec, Personalization, Deep Learning
Development of a Deep Learning-based Midterm PM2.5 Prediction Model Adapting to Trend Changes
Dong Jun Min, Hyerim Kim, Sangkyun Lee The Transactions of the Korea Information Processing Society,
Vol. 13, No. 6, pp. 251-259,
Jun.
2024
https://doi.org/10.3745/TKIPS.2024.13.6.251
Keywords: Particulate Matter, PM2.5, Time Series Forecast, Deep Learning, Ensemble
https://doi.org/10.3745/TKIPS.2024.13.6.251
Keywords: Particulate Matter, PM2.5, Time Series Forecast, Deep Learning, Ensemble
Search Re-ranking Through Weighted Deep Learning Model
Gi-Taek An, Woo-Seok Choi, Jun-Yong Park, Jung-Min Park, Kyung-Soon Lee The Transactions of the Korea Information Processing Society,
Vol. 13, No. 5, pp. 221-226,
May.
2024
https://doi.org/10.3745/TKIPS.2024.13.5.221
Keywords: Information Retrieval, Deep Learning Model, DeBERTa, Product Search
https://doi.org/10.3745/TKIPS.2024.13.5.221
Keywords: Information Retrieval, Deep Learning Model, DeBERTa, Product Search
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