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Search: "[ keyword: Deep Learning ]" (22)
    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

    Research on Artificial Intelligence Based Shipping Container Loading Safety Management System
    Kim Sang Woo, Oh Se Yeong, Seo Yong Uk, Yeon Jeong Hum, Cho Hee Jeong, Youn Joosang KIPS Transactions on Computer and Communication Systems, Vol. 12, No. 9, pp. 273-282, Sep. 2023
    https://doi.org/10.3745/KTCCS.2023.12.9.273
    Keywords: Intelligent Port Safety Technology, Shipping Container, Object Detection, Deep Learning, YOLO

    Semantic Segmentation Intended Satellite Image Enhancement Method Using Deep Auto Encoders
    K. Dilusha Malintha De Silva, Hyo Jong Lee KIPS Transactions on Computer and Communication Systems, Vol. 12, No. 8, pp. 243-252, Aug. 2023
    10.3745/KTCCS.2023.12.8.243
    Keywords: image enhancement, Auto-Encoders, Semantic segmentation, Deep Learning

    Preprocessing Technique for Malicious Comments Detection Considering the Form of Comments Used in the Online Community
    Kim Hae Soo, Kim Mi Hui KIPS Transactions on Computer and Communication Systems, Vol. 12, No. 3, pp. 103-110, Mar. 2023
    https://doi.org/10.3745/KTCCS.2023.12.3.103
    Keywords: Natural Languege Processing, Preprocessing, Deep Learning, Malicious Comment

    A Study on the Design and Implementation of a Thermal Imaging Temperature Screening System for Monitoring the Risk of Infectious Diseases in Enclosed Indoor Spaces
    Jae-Young Jung, You-Jin Kim KIPS Transactions on Computer and Communication Systems, Vol. 12, No. 2, pp. 85-92, Feb. 2023
    https://doi.org/10.3745/KTCCS.2023.12.2.85
    Keywords: Enclosed Indoor Spaces, Respiratory Infections, Deep Learning, Thermal Image, Body Temperature Screening

    Shipping Container Load State and Accident Risk Detection Techniques Based Deep Learning
    Yeon Jeong Hum, Seo Yong Uk, Kim Sang Woo, Oh Se Yeong, Jeong Jun Ho, Park Jin Hyo, Kim Sung-Hee, Youn Joosang KIPS Transactions on Computer and Communication Systems, Vol. 11, No. 11, pp. 411-418, Nov. 2022
    https://doi.org/10.3745/KTCCS.2022.11.11.411
    Keywords: Shipping Container, Yolov4, Deep Learning, Object Detection

    Deep Learning Based Group Synchronization for Networked Immersive Interactions
    Joong-Jae Lee KIPS Transactions on Computer and Communication Systems, Vol. 11, No. 10, pp. 373-380, Oct. 2022
    https://doi.org/10.3745/KTCCS.2022.11.10.373
    Keywords: Group synchronization, Deep Learning, Immersive Interaction

    A Study on the Image-Based Malware Classification System that Combines Image Preprocessing and Ensemble Techniques for High Accuracy
    Kim Hae Soo, Kim Mi Hui KIPS Transactions on Computer and Communication Systems, Vol. 11, No. 7, pp. 225-232, Jul. 2022
    https://doi.org/10.3745/KTCCS.2022.11.7.225
    Keywords: Malware, Deep Learning, Image Preprocessing, Ensemble

    Dynamic Resource Adjustment Operator Based on Autoscaling for Improving Distributed Training Job Performance on Kubernetes
    Jinwon Jeong, Heonchang Yu KIPS Transactions on Computer and Communication Systems, Vol. 11, No. 7, pp. 205-216, Jul. 2022
    https://doi.org/10.3745/KTCCS.2022.11.7.205  
    Keywords: Kubeflow, Kubernetes, Distributed Deep Learning Training, Resource Adjustment Operator

    Development of Web Service for Liver Cirrhosis Diagnosis Based on Machine Learning
    Noh Si-Hyeong, Kim Ji-Eon, Lee Chungsub, Kim Tae-Hoon, Kim KyungWon, Yoon Kwon-Ha, Jeong Chang-Won KIPS Transactions on Computer and Communication Systems, Vol. 10, No. 10, pp. 285-290, Oct. 2021
    https://doi.org/10.3745/KTCCS.2021.10.10.285
    Keywords: DICOM, Medical Bigdata, Artificial Intelligence Training Platform, Machine Learning, Deep Learning

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KTCCS is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).

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