Digital Library
Search: "[ keyword: Autoencoder ]" (5)
Autoencoder Based N-Segmentation Frequency Domain Anomaly Detection for Optimization of Facility Defect Identification
Kichang Park, Yongkwan Lee The Transactions of the Korea Information Processing Society,
Vol. 13, No. 3, pp. 130-139,
Mar.
2024
https://doi.org/10.3745/TKIPS.2024.13.3.130
Keywords: Anomaly Detection, Prediction Maintenance, Autoencoder, Unsupervised learning, Frequency Domain
https://doi.org/10.3745/TKIPS.2024.13.3.130
Keywords: Anomaly Detection, Prediction Maintenance, Autoencoder, Unsupervised learning, Frequency Domain
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
De Novo Drug Design Using Self-Attention Based Variational Autoencoder
Piao Shengmin, Jonghwan Choi, Sangmin Seo, Kyeonghun Kim, Sanghyun Park KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 1, pp. 11-18,
Jan.
2022
https://doi.org/10.3745/KTSDE.2022.11.1.11
Keywords: De Novo Drug Design, SMILES, Deep Learning, self-attention, Variational AutoEncoder
https://doi.org/10.3745/KTSDE.2022.11.1.11
Keywords: De Novo Drug Design, SMILES, Deep Learning, self-attention, Variational AutoEncoder
Clustering Performance Analysis of Autoencoder with Skip Connection
In-su Jo, Yunhee Kang, Dong-bin Choi, Young B. Park KIPS Transactions on Software and Data Engineering,
Vol. 9, No. 12, pp. 403-410,
Dec.
2020
https://doi.org/10.3745/KTSDE.2020.9.12.403
Keywords: Skip Connection, Autoencoder, clustering, Superresolution
https://doi.org/10.3745/KTSDE.2020.9.12.403
Keywords: Skip Connection, Autoencoder, clustering, Superresolution
Network Intrusion Detection System Using Feature Extraction Based on AutoEncoder in IOT environment
Joohwa Lee, Keehyun Park KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 12, pp. 483-490,
Dec.
2019
https://doi.org/10.3745/KTSDE.2019.8.12.483
Keywords: NIDS, IoT, Unsupervised learning, Machine Learning, Autoencoder
https://doi.org/10.3745/KTSDE.2019.8.12.483
Keywords: NIDS, IoT, Unsupervised learning, Machine Learning, Autoencoder
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KTSDE is also selected as the Journal for Accreditation by NRF (National Research Foundation of Korea).
