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Search: "[ keyword: Bi-LSTM ]" (2)
Fall Detection Based on 2-Stacked Bi-LSTM and Human-Skeleton Keypoints of RGBD Camera
Shin Byung Geun, Kim Uung Ho, Lee Sang Woo, Yang Jae Young, Kim Wongyum KIPS Transactions on Software and Data Engineering,
Vol. 10, No. 11, pp. 491-500,
Nov.
2021
https://doi.org/10.3745/KTSDE.2021.10.11.491
Keywords: Fall Detection, deep-learning, Skeleton Keypoints, Stacked Bi-LSTM
https://doi.org/10.3745/KTSDE.2021.10.11.491
Keywords: Fall Detection, deep-learning, Skeleton Keypoints, Stacked Bi-LSTM
Automatic Word Spacing of the Korean Sentences by Using End-to-End Deep Neural Network
Hyun Young Lee, Seung Shik Kang KIPS Transactions on Software and Data Engineering,
Vol. 8, No. 11, pp. 441-448,
Nov.
2019
https://doi.org/10.3745/KTSDE.2019.8.11.441
Keywords: Syllable Embedding, Bi-LSTM, Feedforward Neural Network, Neural Network Language Model, Linear-Chain CRF
https://doi.org/10.3745/KTSDE.2019.8.11.441
Keywords: Syllable Embedding, Bi-LSTM, Feedforward Neural Network, Neural Network Language Model, Linear-Chain CRF
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Vol. 13, 2024
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Vol. 12, 2023
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Vol. 11, 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. 3, 2014
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Vol. 2, 2013
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Vol. 1, 2012
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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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