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Search: "[ author: Inkyung Kim ]" (2)
Temporal Fusion Transformers and Deep Learning Methodsfor Multi-Horizon Time Series Forecasting
InKyung Kim, DaeHee Kim, Jaekoo Lee KIPS Transactions on Software and Data Engineering,
Vol. 11, No. 2, pp. 81-86,
Feb.
2022
https://doi.org/10.3745/KTSDE.2022.11.2.81
Keywords: Time Series, Multi-variate Data Analysis, Multi-horizon Forecasting, Deep Learning, Neural Networks
https://doi.org/10.3745/KTSDE.2022.11.2.81
Keywords: Time Series, Multi-variate Data Analysis, Multi-horizon Forecasting, Deep Learning, Neural Networks
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
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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)
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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).
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