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Search: "[ keyword: Deep Learning ]" (68)
    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


    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


    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


    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


    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


    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


    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


    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


    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


    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


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