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Search: "[ keyword: Deep Learning ]" (72)
    Solar Power Generation Forecasting using a Hybrid LSTM-Linear Model with Multi-Head Attention
    Hyeonseok Jin, David J. Richter, MD Ilias Bappi, Kyungbaek Kim The Transactions of the Korea Information Processing Society, Vol. 14, No. 2, pp. 123-133, Feb. 2025
    https://doi.org/10.3745/TKIPS.2025.14.2.123
    Keywords: Solar Power Prediction, Power generation, prediction, Time Series, Deep Learning


    ADaPT: An Automated Dataloader Parameter Tuning Framework using AVL Tree-based Search Algorithms
    MyungHoon Ryu, XinYu Piao, JooYoung Park, DoangJoo Synn, Jong-Kook Kim The Transactions of the Korea Information Processing Society, Vol. 14, No. 1, pp. 1-8, Jan. 2025
    https://doi.org/10.3745/TKIPS.2025.14.1.1
    Keywords: Deep Learning, AVL-Tree Search Algorithm, data loader, Parameter Tuning


    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


    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


    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