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    Distributed Edge Computing for DNA-Based Intelligent Services and Applications: A Review
    Temesgen Seyoum Alemayehu, We-Duke Cho KIPS Transactions on Computer and Communication Systems, Vol. 9, No. 12, pp. 291-306, Dec. 2020
    https://doi.org/10.3745/KTCCS.2020.9.12.291  
    Keywords: IoT, Deep Learning, Edge Computing, Distributed Training, DNA

    Construction of Artificial Intelligence Training Platform for Multi-Center Clinical Research
    Lee Chung-Sub, Kim Ji-Eon, No Si-Hyeong, Kim Tae-Hoon, Yoon Kwon-Ha, Jeong Chang-Won KIPS Transactions on Computer and Communication Systems, Vol. 9, No. 10, pp. 239-246, Oct. 2020
    https://doi.org/10.3745/KTCCS.2020.9.10.239
    Keywords: DICOM, Radiology_CDM, Medical Bigdata, Artificial Intelligence Training Platform, Machine Learning

    CNN-Based Novelty Detection with Effectively Incorporating Document-Level Information
    Seongung Jo, Heung-Seon Oh, Sanghun Im, Seonho Kim KIPS Transactions on Computer and Communication Systems, Vol. 9, No. 10, pp. 231-238, Oct. 2020
    https://doi.org/10.3745/KTCCS.2020.9.10.231
    Keywords: Deep Learning, CNN, Novelty Detection

    Cooperative Multi-Agent Reinforcement Learning-Based Behavior Control of Grid Sortation Systems in Smart Factory
    HoBin Choi, JuBong Kim, GyuYoung Hwang, KwiHoon Kim, YongGeun Hong, YounHee Han KIPS Transactions on Computer and Communication Systems, Vol. 9, No. 8, pp. 171-180, Aug. 2020
    https://doi.org/10.3745/KTCCS.2020.9.8.171
    Keywords: Deep Learning, Reinforcement Learning, Sortation System, Cooperative Multi-Agent

    Fully Automatic Heart Segmentation Model Analysis Using Residual Multi-Dilated Recurrent Convolutional U-Net
    Sang Heon Lim, Myung Suk Lee KIPS Transactions on Computer and Communication Systems, Vol. 9, No. 2, pp. 37-44, Feb. 2020
    10.3745/KTCCS.2020.9.2.37  
    Keywords: Deep Learning, Artificial intelligence, Heart Segmentation, algorithm, ANN, CNN

    Machine Learning Approach for Pattern Analysis of Energy Consumption in Factory
    Jong Hoon Sung, Yeong Sik Cho KIPS Transactions on Computer and Communication Systems, Vol. 8, No. 4, pp. 87-92, Apr. 2019
    https://doi.org/10.3745/KTCCS.2019.8.4.87  
    Keywords: Factory Energy, power consumption, Machine Learning, Factory Energy Management System

    Distributed Processing System Design and Implementation for Feature Extraction from Large-Scale Malicious Code
    Hyunjong Lee, Seongyul Euh, Doosung Hwang KIPS Transactions on Computer and Communication Systems, Vol. 8, No. 2, pp. 35-40, Feb. 2019
    https://doi.org/10.3745/KTCCS.2019.8.2.35  
    Keywords: Distributed Processing System, Malware detection, feature extraction, Machine Learning

    Blockchain Based Financial Portfolio Management Using A3C
    Ju-Bong Kim, Joo-Seong Heo, Hyun-Kyo Lim, Do-Hyung Kwon, Youn-Hee Han KIPS Transactions on Computer and Communication Systems, Vol. 8, No. 1, pp. 17-28, Jan. 2019
    https://doi.org/10.3745/KTCCS.2019.8.1.17  
    Keywords: Reinforcement Learning, Financial Portfolio Management, A3C, Cryptocurrency, Investment Engineering

    A Study of User Behavior Recognition-Based PIN Entry Using Machine Learning Technique
    Changhun Jung, Zayabaatar Dagvatur, RhongHo Jang, DaeHun Nyang, KyungHee Lee KIPS Transactions on Computer and Communication Systems, Vol. 7, No. 5, pp. 127-136, May. 2018
    10.3745/KTCCS.2018.7.5.127
    Keywords: Smartphone, Authentication Protocol, User Behavior Recognition, Machine Learning, Pin

    Smart IoT Home Data Analysis and Device Control Algorithm Using Deep Learning
    Sang-Hyeong Lee KIPS Transactions on Computer and Communication Systems, Vol. 7, No. 4, pp. 103-110, Apr. 2018
    10.3745/KTCCS.2018.7.4.103
    Keywords: Smart Home System, Deep Learning, Deep Neural Network

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

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