Digital Library

Search: "[ keyword: Machine Learning ]" (90)
    Estimation of software project effort with genetic algorithm and support vector regression
    Ki Tae Kwon , Soo Kwon Park The KIPS Transactions:PartD, Vol. 16, No. 5, pp. 729-736, Oct. 2009
    10.3745/KIPSTD.2009.16.5.729


    A Comparative Study of Feature Importance Algorithms and Feature Selection for Static Feature-Based Ransomware Detection
    Jeon Hye Min, Choi Doo Seop, Im Eul Gyu The Transactions of the Korea Information Processing Society, Vol. 14, No. 8, pp. 576-587, Aug. 2025
    https://doi.org/10.3745/TKIPS.2025.14.8.576
    Keywords: Ransomware, feature importance, Static Feature, Machine Learning


    Research on the Classification of Road Surface Types and Conditions Using Artificial Intelligence
    Park Sang Hyun, Kwon Hyun Jun, Hong Seong Jun, Jeong Jung Eun, Kim Min-Hyun The Transactions of the Korea Information Processing Society, Vol. 14, No. 7, pp. 524-532, Jul. 2025
    https://doi.org/10.3745/TKIPS.2025.14.7.524
    Keywords: Machine Learning, Road Type Classification, Acoustic Impedance, Ultrasonic Sensor


    A Mobility-Aware Dynamic TDD Scheduling Framework for 5G NR-Based V2X
    Muneeb Muhammad, Kwang-Man Ko The Transactions of the Korea Information Processing Society, Vol. 14, No. 7, pp. 516-523, Jul. 2025
    https://doi.org/10.3745/TKIPS.2025.14.7.516
    Keywords: 5G NR, Time division duplexing (TDD), vehicle-to-everything (V2X), Mobility-aware scheduling, Machine Learning, Simulation of Urban Mobility (SUMO)


    A Study on Machine Learning -based River Water Level Prediction Model for Flood Prevention
    DeokHyun You, Heesun Roh, Suyeon Lim, Seongbok Baik, Yong-Geun Hong The Transactions of the Korea Information Processing Society, Vol. 14, No. 6, pp. 431-450, Jun. 2025
    https://doi.org/10.3745/TKIPS.2025.14.6.431
    Keywords: River Water Level Prediction, Flood Prediction, Machine Learning-based Predcition Models


    Machine Learning-Based Gambling Addiction Risk Prediction Model
    Lee Seo Jin, Choi Ji Woong, Hong Seung Hyeon, Kim Jongwan The Transactions of the Korea Information Processing Society, Vol. 14, No. 6, pp. 417-423, Jun. 2025
    https://doi.org/10.3745/TKIPS.2025.14.6.417
    Keywords: Machine Learning, Supervised Learning, Gambling Addiction, Logistic Regression, Counseling Psychology


    A Machine Learning Model for Rapid Prediction of Smart Media Addiction Tendencies Based on Survey Data
    Hong Seung Hyeon, Kwon Gi Hyuk, Lee Seo Jin, Kim Jongwan The Transactions of the Korea Information Processing Society, Vol. 14, No. 5, pp. 297-304, May. 2025
    https://doi.org/10.3745/TKIPS.2025.14.5.297
    Keywords: Smart Media, Smart Media Addiction, Machine Learning, Artificial intelligence, Counseling Psychology


    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


    Keyword Advertising Cost Prediction Using Crawling and Machine Learning Techniques
    Kyungmin Jeon, Jaeyoung Lim, Sunghyun Kim, Hyunseo Cho, Daesik Jung, Jongwon Kim, Younggi Song, Kyungsoo Kim The Transactions of the Korea Information Processing Society, Vol. 14, No. 4, pp. 248-256, Apr. 2025
    https://doi.org/10.3745/TKIPS.2025.14.4.248
    Keywords: Advertising Expenses, keyword, Crawling, Machine Learning


    A Survey of Phishing Campaign Trends and the Classification of Detection Techniques
    Ji-Hoon Park, Sang-Hoon Choi, Ki-Woong Park The Transactions of the Korea Information Processing Society, Vol. 14, No. 3, pp. 149-160, Mar. 2025
    https://doi.org/10.3745/TKIPS.2025.14.3.149
    Keywords: Phishing Campaign, Phishing Detection, Machine Learning, LLM, feature extraction


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