Digital Library
Search: "[ keyword: Machine Learning ]" (90)
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
1D CNN and Machine Learning Methods for Fall Detection
Inkyung Kim, Daehee Kim, Song Noh, Jaekoo Lee KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 3, pp. 85-90,
Mar.
2021
https://doi.org/10.3745/KTSDE.2021.10.3.85
Keywords: Machine Learning, Deep Learning, Fall Detection, 1D Convolutional Neural Network
https://doi.org/10.3745/KTSDE.2021.10.3.85
Keywords: Machine Learning, Deep Learning, Fall Detection, 1D Convolutional Neural Network
Double Encoder-Decoder Model for Improving the Accuracy of the Electricity Consumption Prediction in Manufacturing
Yeongchang Cho, Byung Gill Go, Jong Hoon Sung, Yeong Sik Cho KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 12, pp. 419-430,
Dec.
2020
https://doi.org/10.3745/KTSDE.2020.9.12.419
Keywords: Time-Series Forecasting, Deep Learning, Machine Learning
https://doi.org/10.3745/KTSDE.2020.9.12.419
Keywords: Time-Series Forecasting, Deep Learning, Machine Learning
A Pre-processing Study to Solve the Problem of Rare Class Classification of Network Traffic Data
Ryu Kyung Joon, Shin DongIl, Shin DongKyoo, Park JeongChan, Kim JinGoog KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 12, pp. 411-418,
Dec.
2020
https://doi.org/10.3745/KTSDE.2020.9.12.411
Keywords: Machine Learning, Rare Class, Semi Rare Class, pre-processing, Feature selection
https://doi.org/10.3745/KTSDE.2020.9.12.411
Keywords: Machine Learning, Rare Class, Semi Rare Class, pre-processing, Feature selection
Analysis of Disaster Safety Situation Classification Algorithm Based on Natural Language Processing Using 119 Calls Data
Su-Jeong Kwon, Yun-Hee Kang, Yong-Hak Lee, Min-Ho Lee, Seung-Ho Park, Myung-Ju Kang KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 10, pp. 317-322,
Oct.
2020
https://doi.org/10.3745/KTSDE.2020.9.10.317
Keywords: Artificial intelligence, emergency response, Natural Language Processing, Situation Classification, Machine Learning
https://doi.org/10.3745/KTSDE.2020.9.10.317
Keywords: Artificial intelligence, emergency response, Natural Language Processing, Situation Classification, Machine Learning
Digital Mirror System with Machine Learning and Microservices
Myeong Ho Song, Soo Dong Kim KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 9, pp. 267-280,
Sep.
2020
https://doi.org/10.3745/KTSDE.2020.9.9.267
Keywords: Digital Mirror, Face Recognition, Age Detection, Emotion Detection, Microservice, Machine Learning
https://doi.org/10.3745/KTSDE.2020.9.9.267
Keywords: Digital Mirror, Face Recognition, Age Detection, Emotion Detection, Microservice, Machine Learning
Tor Network Website Fingerprinting Using Statistical-Based Feature and Ensemble Learning of Traffic Data
Junho Kim, Wongyum Kim, Doosung Hwang KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 6, pp. 187-194,
Jun.
2020
https://doi.org/10.3745/KTSDE.2020.9.6.187
Keywords: Anonymous Network, Traffic Collection, Website Fingerprinting, Ensemble Algorithm, Machine Learning
https://doi.org/10.3745/KTSDE.2020.9.6.187
Keywords: Anonymous Network, Traffic Collection, Website Fingerprinting, Ensemble Algorithm, Machine Learning
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).
