Digital Library


Search: "[ keyword: Deep Learning ]" (78)
    Improving Object Detection via Lightweight Cross-Attention-based Semantic Alignment
    Hyungseop Lee, Jiho Lee, Woochul Kang The Transactions of the Korea Information Processing Society, Vol. 14, No. 9, pp. 668-676, Sep. 2025
    https://doi.org/10.3745/TKIPS.2025.14.9.668
    Keywords: Deep Learning, Object Detection, Multi-scale feature fusion, Cross-attention, Real-Time Inference


    Design of Depth Adjustable Neural Networks for Vision Tasks
    Kang Woochul The Transactions of the Korea Information Processing Society, Vol. 14, No. 8, pp. 627-632, Aug. 2025
    https://doi.org/10.3745/TKIPS.2025.14.8.627
    Keywords: Deep Learning, Adaptability, Efficiency, depth adjustment


    Multi-Modal Deep Learning for COVID-19 Severity Assessment via Gene Expression and Clinical Data Integration
    Soojung Ha, Juho Park, Kyuri Jo The Transactions of the Korea Information Processing Society, Vol. 14, No. 7, pp. 548-554, Jul. 2025
    https://doi.org/10.3745/TKIPS.2025.14.7.548
    Keywords: Multi-Modal Deep Learning, COVID-19 Severity Prediction, Gene Expression Analysis, Clinical Data


    Label Differential Privacy Study for Privacy Protection in Multimodal Contrastive Learning Model
    Youngseo Kim, Minseo Yu, Younghan Lee, Ho Bae The Transactions of the Korea Information Processing Society, Vol. 14, No. 5, pp. 289-296, May. 2025
    https://doi.org/10.3745/TKIPS.2025.14.5.289  
    Keywords: Differential privacy, multimodal deep learning, contrastive learning, data privacy


    Transformer-based Short-term Drought Prediction with Feature Selection
    Seo Jae Hyun The Transactions of the Korea Information Processing Society, Vol. 14, No. 4, pp. 282-288, Apr. 2025
    https://doi.org/10.3745/TKIPS.2025.14.4.282
    Keywords: Short-term Drought Prediction, Deep Learning, Machine Learning, Feature selection


    PEFT Methods for Domain Adaptation
    Lee You Jin, Yoon Kyung Koo, Chung Woo Dam The Transactions of the Korea Information Processing Society, Vol. 14, No. 4, pp. 239-247, Apr. 2025
    https://doi.org/10.3745/TKIPS.2025.14.4.239  
    Keywords: Parameter-Efficient Fine-tuning, domain adaptation, Deep Learning, Large Language Model, LoRa, MoRA


    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