Digital Library
Search: "[ keyword: prediction ]" (70)
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
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
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
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
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
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
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
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
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
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
https://doi.org/10.3745/KTSDE.2021.10.11.541
Keywords: machine leaning, Prediction Model, Hypertension, Sociodemographic Characteristics, Public Health
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KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
