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Search: "[ keyword: prediction ]" (75)
    A Study on Peak Load Prediction Using TCN Deep Learning Model
    Lee Jung Il KIPS Transactions on Software and Data Engineering, Vol. 12, No. 6, pp. 251-258, Jun. 2023
    https://doi.org/10.3745/KTSDE.2023.12.6.251
    Keywords: Peak Load Prediction, Artificial neural network, Deep Learning, Hyper Parameter Optimization


    Ensemble Learning-Based Prediction of Good Sellers in Overseas Sales of Domestic Books and Keyword Analysis of Reviews of the Good Sellers
    Do Young Kim, Na Yeon Kim, Hyon Hee Kim KIPS Transactions on Software and Data Engineering, Vol. 12, No. 4, pp. 173-178, Apr. 2023
    https://doi.org/10.3745/KTSDE.2023.12.4.173
    Keywords: Ensemble learning, Good Seller Prediction, Book Review Analysis, Text Mining, Keyword Analysis


    Towards Carbon-Neutralization: Deep Learning-Based Server Management Method for Efficient Energy Operation in Data Centers
    Sang-Gyun Ma, Jaehyun Park, Yeong-Seok Seo KIPS Transactions on Software and Data Engineering, Vol. 12, No. 4, pp. 149-158, Apr. 2023
    https://doi.org/10.3745/KTSDE.2023.12.4.149  
    Keywords: data center, Deep Learning, LSTM, Quality of Service, Server Management, traffic prediction


    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


    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


    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


    Prediction Model of Hypertension Using Sociodemographic Characteristics Based on Machine Learning
    Bum Ju Lee KIPS Transactions on Software and Data Engineering, Vol. 10, No. 11, pp. 541-546, Nov. 2021
    https://doi.org/10.3745/KTSDE.2021.10.11.541
    Keywords: machine leaning, Prediction Model, Hypertension, Sociodemographic Characteristics, Public Health