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Search: "[ keyword: PRED ]" (123)
    Learning Data Model Definition and Machine Learning Analysis for Data-Based Li-Ion Battery Performance Prediction
    Byoungwook Kim, Ji Su Park, Hong-Jun Jang KIPS Transactions on Software and Data Engineering, Vol. 12, No. 3, pp. 133-140, Mar. 2023
    https://doi.org/10.3745/KTSDE.2023.12.3.133
    Keywords: Lithium-ion battery, Battery Performance Prediction, Machine Learning, Learning Data Model


    Comparison of Machine Learning-Based Greenhouse VPD Prediction Models
    Jang Kyeong Min, Lee Myeong Bae, Lim Jong Hyun, Oh Han Byeol, Shin Chang Sun, Park Jang Woo KIPS Transactions on Software and Data Engineering, Vol. 12, No. 3, pp. 125-132, Mar. 2023
    https://doi.org/10.3745/KTSDE.2023.12.3.125
    Keywords: Machine Learning, Vapor Pressure Deficit(VPD), Prediction Model, Smart Farm, Light Gradient Boosting Machine(LGBM), RandomForest


    Predicting Unseen Object Pose with an Adaptive Depth Estimator
    Sungho Song, Incheol Kim KIPS Transactions on Software and Data Engineering, Vol. 11, No. 12, pp. 509-516, Dec. 2022
    https://doi.org/10.3745/KTSDE.2022.11.12.509
    Keywords: 3D Vision, Unknown Object, 6D Pose Prediction, depth estimation, deep neural network


    Boosting the Performance of the Predictive Model on the Imbalanced Dataset Using SVM Based Bagging and Out-of-Distribution Detection
    Jong Hoon Kim, Hayoung Oh KIPS Transactions on Software and Data Engineering, Vol. 11, No. 11, pp. 455-464, Nov. 2022
    https://doi.org/10.3745/KTSDE.2022.11.11.455
    Keywords: Imbalanced Dataset, Predictive Performance, Bagging, Out-of-Distribution(OoD) Detection


    Electric Power Demand Prediction Using Deep Learning Model with Temperature Data
    Hyoup-Sang Yoon, Seok-Bong Jeong KIPS Transactions on Software and Data Engineering, Vol. 11, No. 7, pp. 307-314, Jul. 2022
    https://doi.org/10.3745/KTSDE.2022.11.7.307  
    Keywords: Electric Power Demand Prediction, Deep Learning, WaveNet, Temperature Data


    Verifying Execution Prediction Model based on Learning Algorithm for Real-time Monitoring
    Yoon Seok Jeong , Tae Wan Kim , Chun Hyon Chang The KIPS Transactions:PartA, Vol. 11, No. 4, pp. 243-250, Aug. 2004
    10.3745/KIPSTA.2004.11.4.243


    Scalar First Replacement Strategy for Reference Prediction Table Used in Prefetching Streaming Data
    Chul Hoo Lim , Young Suk Chon , Suk Il Kim , Joong Nam Jeon The KIPS Transactions:PartA, Vol. 11, No. 3, pp. 163-172, Jun. 2004
    10.3745/KIPSTA.2004.11.3.163


    Effective Utilization of Domain Knowledge for Relational Reinforcement Learning
    MinKyo Kang, InCheol Kim KIPS Transactions on Software and Data Engineering, Vol. 11, No. 3, pp. 141-148, Mar. 2022
    https://doi.org/10.3745/KTSDE.2022.11.3.141
    Keywords: Relational Reinforcement Learning, Domain Knowledge, Policy, Logic Predicate, Generality, Interpretability


    Disease Prediction By Learning Clinical Concept Relations
    Seung-Hyeon Jo, Kyung-Soon Lee KIPS Transactions on Software and Data Engineering, Vol. 11, No. 1, pp. 35-40, Jan. 2022
    https://doi.org/10.3745/KTSDE.2022.11.1.35
    Keywords: Cninical Decision Support, Clinical Concept Relation, Deep Learning, Disaese Prediction, Query Expansion


    Understanding the Association Between Cryptocurrency Price Predictive Performance and Input Features
    Jaehyun Park, Yeong-Seok Seo KIPS Transactions on Software and Data Engineering, Vol. 11, No. 1, pp. 19-28, Jan. 2022
    https://doi.org/10.3745/KTSDE.2022.11.1.19
    Keywords: LSTM, Deep Learning, Input Feature, Cryptocurrency, Price Prediction, Data Analysis


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