Attention based Temporal convolutional network for ϕ-OTDR event classification

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Attention based Temporal convolutional network for ϕ-OTDR event classification
Title:
Attention based Temporal convolutional network for ϕ-OTDR event classification
Other Titles:
2021 19th International Conference on Optical Communications and Networks (ICOCN)
Keywords:
Publication Date:
19 October 2021
Citation:
Tian, M., Dong, H., & Yu, K. (2021). Attention based Temporal convolutional network for ϕ-OTDR event classification. 2021 19th International Conference on Optical Communications and Networks (ICOCN). doi:10.1109/icocn53177.2021.9563673
Abstract:
We designed a new attention based temporal convolutional network combined with bidirectional long short term memory model named ATCN-BiLSTM for Ф-OTDR event classification, achieving average classification accuracy of 99.6% on three types of events.
License type:
Publisher Copyright
Funding Info:
This research / project is supported by the A*STAR - GAP Funds
Grant Reference no. : ACCL/19-GAP032-R20A

1) Fundamental Research Funds for the Central Universities under Grant 2020YJS043 and Grant 2020JBM024 2) National Natural Science Foundation of China (NSFC) under Grant 61805008 3) Outstanding Chinese and Foreign Youth Exchange Program of China Association of Science and Technology.
Description:
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ISBN:
978-1-6654-2446-2
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