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Search: "[ keyword: Machine Learning ]" (90)
Classifying a Strength of Dependency between classes by using Software Metrics and Machine Learning in Object-Oriented System
Sung Kyun Jung , Jae Gyoon Ahn , Yun Ku Yeu , Sang Hyun Park KIPS Transactions on Software and Data Engineering,
Vol. 2, No. 10, pp. 651-658,
Oct.
2013
10.3745/KTSDE.2013.2.10.651

Mobile App Recommendation using User`s Spatio-Temporal Context
Young Gil Kang , Se Young Hwang , Sang Won Park , Soo Won Lee KIPS Transactions on Software and Data Engineering,
Vol. 2, No. 9, pp. 615-620,
Sep.
2013
10.3745/KTSDE.2013.2.9.615

Machine Learning Process for the Prediction of the IT Asset Fault Recovery
Young Joon Moon , Sung Yul Rhew , Il Woo Chol KIPS Transactions on Software and Data Engineering,
Vol. 2, No. 4, pp. 281-290,
Apr.
2013
10.3745/KTSDE.2013.2.4.281

Development of Medical Image Quality Assessment Tool Based on Chest X-ray
Gi-Hyeon Nam, Dong-Yeon Yoo, Yang-Gon Kim, Joo-Sung Sun, Jung-Won Lee KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 6, pp. 243-250,
Jun.
2023
https://doi.org/10.3745/KTSDE.2023.12.6.243
Keywords: Chest X-ray, quality assessment, Deep Learning, Machine Learning

Keywords: Chest X-ray, quality assessment, Deep Learning, Machine Learning
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

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

Keywords: Machine Learning, Vapor Pressure Deficit(VPD), Prediction Model, Smart Farm, Light Gradient Boosting Machine(LGBM), RandomForest
Malicious Traffic Classification Using Mitre ATT&CK and Machine Learning Based on UNSW-NB15 Dataset
Yoon Dong Hyun, Koo Ja Hwan, Won Dong Ho KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 2, pp. 99-110,
Feb.
2023
https://doi.org/10.3745/KTSDE.2023.12.2.99
Keywords: Machine Learning, MITRE ATT&CK, UNSW-NB15, Network Traffic Classification, Network Security Monitoring

Keywords: Machine Learning, MITRE ATT&CK, UNSW-NB15, Network Traffic Classification, Network Security Monitoring
A Specification-Based Methodology for Data Collection in Artificial Intelligence System
Donggi Kim, Byunggi Choi, Jaeho Lee KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 11, pp. 479-488,
Nov.
2022
https://doi.org/10.3745/KTSDE.2022.11.11.479
Keywords: Intelligence System, Machine Learning, Data Collection, Automation, Reusability

Keywords: Intelligence System, Machine Learning, Data Collection, Automation, Reusability
Exploiting Korean Language Model to Improve Korean Voice Phishing Detection
Milandu Keith Moussavou Boussougou, Dong-Joo Park KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 10, pp. 437-446,
Oct.
2022
https://doi.org/10.3745/KTSDE.2022.11.10.437
Keywords: KoBERT, NLP, Text Classification, Machine Learning, Deep Learning

Keywords: KoBERT, NLP, Text Classification, Machine Learning, Deep Learning
IoT Malware Detection and Family Classification Using Entropy Time Series Data Extraction and Recurrent Neural Networks
Youngho Kim, Hyunjong Lee, Doosung Hwang KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 5, pp. 197-202,
May.
2022
https://doi.org/10.3745/KTSDE.2022.11.5.197
Keywords: Internet of Things, Machine Learning, Malware detection, Malware Family Classification

Keywords: Internet of Things, Machine Learning, Malware detection, Malware Family Classification