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Search: "[ keyword: Learning ]" (258)
    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


    Comparative Analysis of Self-supervised Deephashing Models for Efficient Image Retrieval System
    Kim Soo In, Jeon Young Jin, Lee Sang Bum, Kim Won Gyum KIPS Transactions on Software and Data Engineering, Vol. 12, No. 12, pp. 519-524, Dec. 2023
    https://doi.org/10.3745/KTSDE.2023.12.12.519
    Keywords: Deephashing, Image retrieval, Variational Inference, Self-Supervised Learning, Attention Mechanism


    A Study on Dataset Generation Method for Korean Language Information Extraction from Generative Large Language Model and Prompt Engineering
    Jeong Young Sang, Ji Seung Hyun, Kwon Da Rong Sae KIPS Transactions on Software and Data Engineering, Vol. 12, No. 11, pp. 481-492, Nov. 2023
    https://doi.org/10.3745/KTSDE.2023.12.11.481
    Keywords: Large Language Model, Prompt Egineering, Zero-shot Learning, Dataset Generation, Information Extraction


    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


    TAGS: Text Augmentation with Generation and Selection
    Kim Kyung Min, Dong Hwan Kim, Seongung Jo, Heung-Seon Oh, Myeong-Ha Hwang KIPS Transactions on Software and Data Engineering, Vol. 12, No. 10, pp. 455-460, Oct. 2023
    https://doi.org/10.3745/KTSDE.2023.12.10.455
    Keywords: Natural Language Process, Artificial intelligence, Large Language Model, Few-Shot Learning, Text Augmentation


    Multi-Object Goal Visual Navigation Based on Multimodal Context Fusion
    Jeong Hyun Choi, In Cheol Kim KIPS Transactions on Software and Data Engineering, Vol. 12, No. 9, pp. 407-418, Sep. 2023
    https://doi.org/10.3745/KTSDE.2023.12.9.407
    Keywords: Multi-Object Goal Visual Navigation, Deep Reinforcement Learning, Multimodal Context Fusion, Global Mapping


    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


    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


    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


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