Digital Library
Search: "[ keyword: PRED ]" (105)
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
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
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
https://doi.org/10.3745/KTSDE.2022.11.7.307
Keywords: Electric Power Demand Prediction, Deep Learning, WaveNet, Temperature Data
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
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
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
A Comparative Study on Game-Score Prediction Models Using Compuational Thinking Education Game Data
Yeongwook Yang KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 11, pp. 529-534,
Nov.
2021
https://doi.org/10.3745/KTSDE.2021.10.11.529
Keywords: Computational Thinking, prediction, Game Based Learning, Regression
https://doi.org/10.3745/KTSDE.2021.10.11.529
Keywords: Computational Thinking, prediction, Game Based Learning, Regression
Indexing
All publications of KTSDE is indexed in DOI, EBSCO, Google Scholar, Crossref, and CrossCheck.
KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
