Condition Monitoring with Incomplete Data: An Integrated Variational Autoencoder and Distance Metric Framework
- DOI
- 10.1109/case59546.2024.10711553
- Published
- 2024-08-28
- Container
- 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)
- Publisher
- IEEE
- Open access
- unknown
Credibility signals
uncertain Score 64/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
Show all credibility signals
- supportingDOI registered: A matching record was returned by Crossref.
- supportingDOI resolves: A matching record was returned by Crossref.
- not scoredDirectory of Open Access Journals: No matching DOAJ record was present in this response. No allow-list match; this is not evidence of low credibility.
- not scoredMEDLINE indexed: Not checked or no result supplied; no credibility inference made.
- not scoredOpenAlex core source: Not checked or no result supplied; no credibility inference made.
- not scoredKnown publisher allow-list: Not checked or no result supplied; no credibility inference made.
- not scoredROR affiliation: Not checked or no result supplied; no credibility inference made.
- not scoredRetraction Watch retraction: No retraction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch expression of concern: No expression of concern notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch correction: No correction notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredRetraction Watch reinstatement: No reinstatement notice matched this DOI in the deployed snapshot. No matching event found; coverage may be incomplete.
- not scoredOpen access status: Not checked or no result supplied; no credibility inference made.
- not scoredPublication license: Not checked or no result supplied; no credibility inference made.
- not scoredPublication version: A publication version was supplied but is not scored.
- supportingMetadata completeness: All 6 scored descriptive metadata groups are present.
Cite this work
BibTeX
@article{allodium:10.1109/case59546.2024.10711553,
title = {Condition Monitoring with Incomplete Data: An Integrated Variational Autoencoder and Distance Metric Framework},
author = {Maryam Ahang and Mostafa Abbasi and Todd Charter and Homayoun Najjaran},
year = {2024},
journal = {2024 IEEE 20th International Conference on Automation Science and Engineering (CASE)},
doi = {10.1109/case59546.2024.10711553},
url = {https://doi.org/10.1109/case59546.2024.10711553}
}RIS
TY - JOUR TI - Condition Monitoring with Incomplete Data: An Integrated Variational Autoencoder and Distance Metric Framework AU - Maryam Ahang AU - Mostafa Abbasi AU - Todd Charter AU - Homayoun Najjaran PY - 2024 JO - 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE) DO - 10.1109/case59546.2024.10711553 UR - https://doi.org/10.1109/case59546.2024.10711553 ER -
APA
Ahang, M., Abbasi, M., Charter, T., & Najjaran, H. (2024). Condition Monitoring with Incomplete Data: An Integrated Variational Autoencoder and Distance Metric Framework. 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). https://doi.org/10.1109/case59546.2024.10711553
Source records
- crossref · retrieved 2026-09-26T03:23:28.764Z