Digital Library
Search: "[ keyword: Machine Learning ]" (74)
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
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
https://doi.org/10.3745/KTSDE.2023.12.2.99
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
https://doi.org/10.3745/KTSDE.2022.11.11.479
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
https://doi.org/10.3745/KTSDE.2022.11.10.437
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
https://doi.org/10.3745/KTSDE.2022.11.5.197
Keywords: Internet of Things, Machine Learning, Malware detection, Malware Family Classification
Classifying Sub-Categories of Apartment Defect Repair Tasks: A Machine Learning Approach
Eunhye Kim, HongGeun Ji, Jina Kim, Eunil Park, Jay Y. Ohm KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 9, pp. 359-366,
Sep.
2021
https://doi.org/10.3745/KTSDE.2021.10.9.359
Keywords: Apartment, Defect, Repair Tasks, Sub Category, Finishing Works, Machine Learning
https://doi.org/10.3745/KTSDE.2021.10.9.359
Keywords: Apartment, Defect, Repair Tasks, Sub Category, Finishing Works, Machine Learning
Host-Based Intrusion Detection Model Using Few-Shot Learning
Park DaeKyeong, Shin DongIl, Shin DongKyoo, Kim Sangsoo KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 7, pp. 271-278,
Jul.
2021
https://doi.org/10.3745/KTSDE.2021.10.7.271
Keywords: Machine Learning, LID-DS, Few-Shot Learning, Siamese Network, HIDS
https://doi.org/10.3745/KTSDE.2021.10.7.271
Keywords: Machine Learning, LID-DS, Few-Shot Learning, Siamese Network, HIDS
Black Ice Formation Prediction Model Based on Public Data in Land, Infrastructure and Transport Domain
Jeong Ho Na, Sung-Ho Yoon, Hyo-Jung Oh KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 7, pp. 257-262,
Jul.
2021
https://doi.org/10.3745/KTSDE.2021.10.7.257
Keywords: Black Ice, Public Data, Data Cleansing, Machine Learning, prediction
https://doi.org/10.3745/KTSDE.2021.10.7.257
Keywords: Black Ice, Public Data, Data Cleansing, Machine Learning, prediction
A Comparative Study of Machine Learning Algorithms Using LID-DS DataSet
Park DaeKyeong, Ryu KyungJoon, Shin DongIl, Shin DongKyoo, Park JeongChan, Kim JinGoog KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 3, pp. 91-98,
Mar.
2021
https://doi.org/10.3745/KTSDE.2021.10.3.91
Keywords: Machine Learning, HIDS, NIDS, LID-DS
https://doi.org/10.3745/KTSDE.2021.10.3.91
Keywords: Machine Learning, HIDS, NIDS, LID-DS
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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).
