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Search: "[ keyword: Time Series Forecast ]" (2)
Development of a Deep Learning-based Midterm PM2.5 Prediction Model Adapting to Trend Changes
Dong Jun Min, Hyerim Kim, Sangkyun Lee The Transactions of the Korea Information Processing Society,
Vol. 13, No. 6, pp. 251-259,
Jun.
2024
https://doi.org/10.3745/TKIPS.2024.13.6.251
Keywords: Particulate Matter, PM2.5, Time Series Forecast, Deep Learning, Ensemble
https://doi.org/10.3745/TKIPS.2024.13.6.251
Keywords: Particulate Matter, PM2.5, Time Series Forecast, Deep Learning, Ensemble
Style-Based Transformer for Time Series Forecasting
Dong-Keon Kim, Kwangsu Kim KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 12, pp. 579-586,
Dec.
2021
https://doi.org/10.3745/KTSDE.2021.10.12.579
Keywords: Time Series Forecasting, Transformer, Generative Decoder, Style Transfer
https://doi.org/10.3745/KTSDE.2021.10.12.579
Keywords: Time Series Forecasting, Transformer, Generative Decoder, Style Transfer
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Publications
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Vol. 13, 2024
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Vol. 12, 2023
- Vol. 12, No. 12 (Dec. 2023)
- Vol. 12, No. 11 (Nov. 2023)
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Vol. 11, 2022
- Vol. 11, No. 12 (Dec. 2022)
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Vol. 10, 2021
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Vol. 9, 2020
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Vol. 8, 2019
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Vol. 7, 2018
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Vol. 6, 2017
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Vol. 5, 2016
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Vol. 4, 2015
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Vol. 3, 2014
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Vol. 2, 2013
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Vol. 1, 2012
Old Journals
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).