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Search: "[ keyword: Artificial Intelligence ]" (20)
    A Prospective Extension Through an Analysis of the Existing Movie Recommendation Systems and Their Challenges
    Cho Nwe Zin Latt, Muhammad Firdaus, Mariz Aguilar, Kyung-Hyune Rhee KIPS Transactions on Computer and Communication Systems, Vol. 12, No. 1, pp. 25-40, Jan. 2023
    https://doi.org/10.3745/KTCCS.2023.12.1.25
    Keywords: Recommendation, Collaborative Filtering, Content-based Filtering, Artificial intelligence, Neural Network

    A Study on the System for AI Service Production
    Yong-Geun Hong KIPS Transactions on Computer and Communication Systems, Vol. 11, No. 10, pp. 323-332, Oct. 2022
    https://doi.org/10.3745/KTCCS.2022.11.10.323  
    Keywords: Artificial intelligence, Object Detection, AI Inference, AI Production, Edge Computing

    Development of Cloud-Based Medical Image Labeling System and It's Quantitative Analysis of Sarcopenia
    Lee Chung-Sub, Lim Dong-Wook, Kim Ji-Eon, Noh Si-Hyeong, Yu Yeong-Ju, Kim Tae-Hoon, Yoon Kwon-Ha, Jeong Chang-Won KIPS Transactions on Computer and Communication Systems, Vol. 11, No. 7, pp. 233-240, Jul. 2022
    https://doi.org/10.3745/KTCCS.2022.11.7.233
    Keywords: Artificial intelligence, Medical Image, DICOM, CT, Labeling Data, Sarcopenia

    Development of Insole for AI-Based Diagnosis of Diabetic Foot Ulcers in IoT Environment
    Choi Won Hoo, Chung Tai Myoung, Park Ji Ung, Lee Seo Hu KIPS Transactions on Computer and Communication Systems, Vol. 11, No. 3, pp. 83-90, Mar. 2022
    https://doi.org/10.3745/KTCCS.2022.11.3.83
    Keywords: Sensor, Internet of Things, Digital Therapeutics, Diabetic Foot Ulcers, Artificial intelligence

    A Study on The Effect of Perceived Value and Innovation Resistance Factors on Adoption Intention of Artificial Intelligence Platform: Focused on Drug Discovery Fields
    Yeongdae Kim, Ji-Young Kim, Wonkyung Jeong, Yongtae Shin KIPS Transactions on Computer and Communication Systems, Vol. 10, No. 12, pp. 329-342, Dec. 2021
    https://doi.org/10.3745/KTSDE.2021.10.12.329
    Keywords: Artificial intelligence, Drug Discovery, Perceived Value, innovation resistance, Value Based Adoption Model

    Urinary Stones Segmentation Model and AI Web Application Development in Abdominal CT Images Through Machine Learning
    Lee Chung-Sub, Lim Dong-Wook, Noh Si-Hyeong, Kim Tae-Hoon, Park Sung-Bin, Yoon Kwon-Ha, Jeong Chang-Won KIPS Transactions on Computer and Communication Systems, Vol. 10, No. 11, pp. 305-310, Nov. 2021
    https://doi.org/10.3745/KTCCS.2021.10.11.305
    Keywords: Urinary Stone, DICOM, Artificial intelligence, Model Serving, Flask

    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

    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

    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

    A Monitoring Scheme Based on Artificial Intelligence in Mobile Edge Cloud Computing Environments
    JongBeom Lim, HeeSeok Choi, HeonChang Yu KIPS Transactions on Computer and Communication Systems, Vol. 7, No. 2, pp. 27-32, Feb. 2018
    10.3745/KTCCS.2018.7.2.27
    Keywords: Mobile Edge Cloud, Monitoring, Artificial Intelligence, Fault Tolerance

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

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