Digital Library
Search: "[ keyword: Learning ]" (258)
Intrusion Detection Method Using Unsupervised Learning-Based Embedding and Autoencoder
Junwoo Lee, Kangseok Kim KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 8, pp. 355-364,
Aug.
2023
https://doi.org/10.3745/KTSDE.2023.12.8.355
Keywords: Anomaly Detection, Unsupervised learning, Embedding Techniques, Autoencoder, Time-Series Data
https://doi.org/10.3745/KTSDE.2023.12.8.355
Keywords: Anomaly Detection, Unsupervised learning, Embedding Techniques, Autoencoder, Time-Series Data
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
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
https://doi.org/10.3745/KTSDE.2023.12.6.243
Keywords: Chest X-ray, quality assessment, Deep Learning, Machine Learning
Quadruped Robot for Walking on the Uneven Terrain and Object Detection using Deep Learning
Myeong Suk Pak, Seong Min Han, Sang Hoon Kim KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 5, pp. 237-242,
May.
2023
https://doi.org/10.3745/KTSDE.2023.12.5.237
Keywords: Quadruped Robot, Deep Learning, Object Detection, Walking Robo
https://doi.org/10.3745/KTSDE.2023.12.5.237
Keywords: Quadruped Robot, Deep Learning, Object Detection, Walking Robo
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
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
The Application Methods of FarmMap Reading in Agricultural Land Using Deep Learning
Wee Seong Seung, Jung Nam Su, Lee Won Suk, Shin Yong Tae KIPS Transactions on Software and Data Engineering,
Vol. 12, No. 2, pp. 77-82,
Feb.
2023
https://doi.org/10.3745/KTSDE.2023.12.2.77
Keywords: Deep Learning, Agricultural Land, FarmMap, Aviation Image
https://doi.org/10.3745/KTSDE.2023.12.2.77
Keywords: Deep Learning, Agricultural Land, FarmMap, Aviation Image
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).
