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Part 1: Document Description
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Citation |
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Title: |
Preprocessed FD dataset |
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Identification Number: |
doi:10.21979/N9/7KGPRI |
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Distributor: |
DR-NTU (Data) |
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Date of Distribution: |
2022-03-08 |
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Version: |
1 |
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Bibliographic Citation: |
Eldele, Emadeldeen, 2022, "Preprocessed FD dataset", https://doi.org/10.21979/N9/7KGPRI, DR-NTU (Data), V1 |
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Citation |
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Title: |
Preprocessed FD dataset |
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Identification Number: |
doi:10.21979/N9/7KGPRI |
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Authoring Entity: |
Eldele, Emadeldeen (Nanyang Technological University) |
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Software used in Production: |
TS-TCC |
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Grant Number: |
AME Programmatic Funds (Grant No. A20H6b0151) |
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Grant Number: |
Career Development Award (Grant No. C210112046) |
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Distributor: |
DR-NTU (Data) |
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Access Authority: |
Eldele, Emadeldeen |
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Depositor: |
Eldele, Emadeldeen |
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Date of Deposit: |
2022-03-08 |
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Holdings Information: |
https://doi.org/10.21979/N9/7KGPRI |
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Study Scope |
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Keywords: |
Computer and Information Science, Engineering, Computer and Information Science, Engineering, Fault Diagnosis |
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Abstract: |
Preprocessed files of FD dataset used in IJCAI-21 work "TS-TCC" |
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Kind of Data: |
Fault Diagnosis |
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Methodology and Processing |
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Sources Statement |
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Data Access |
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Other Study Description Materials |
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Related Publications |
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Citation |
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Identification Number: |
10.24963/ijcai.2021/324 |
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Bibliographic Citation: |
Eldele, E., Ragab, M., Chen, Z., Wu, M., Kwoh, C. K., Li, X., & Guan, C. (2021). Time-series representation learning via temporal and contextual contrasting. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21), 2352-2359. |
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Citation |
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Identification Number: |
10356/155626 |
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Bibliographic Citation: |
Eldele, E., Mohamed Ragab, Chen, Z., Wu, M., Kwoh, C. K., Li, X. & Guan, C. (2021). Time-series representation learning via temporal and contextual contrasting. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence (IJCAI-21), 2352-2359. |
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test_a.pt |
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application/octet-stream |
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test_b.pt |
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application/octet-stream |
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test_c.pt |
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application/octet-stream |
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test_d.pt |
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application/octet-stream |
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train_a.pt |
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application/octet-stream |
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train_b.pt |
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application/octet-stream |
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train_c.pt |
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application/octet-stream |
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train_d.pt |
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application/octet-stream |
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val_a.pt |
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application/octet-stream |
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val_b.pt |
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application/octet-stream |
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val_c.pt |
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application/octet-stream |
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val_d.pt |
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application/octet-stream |