Explainable Artificial Intelligence for Thermal Condition Assessment of High-Voltage Power Equipment Using Infrared Imaging
- DOI
- 10.3791/71527
- Published
- 2026-07-21
- Container
- Journal of Visualized Experiments
- Publisher
- MyJove Corporation
- 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:10.3791/71527,
title = {Explainable Artificial Intelligence for Thermal Condition Assessment of High-Voltage Power Equipment Using Infrared Imaging},
author = {Kanaka Raju Kalla and R. Ramya Swetha and Mahesh K. and Ijjada Ramesh and CH V V Ramana and Sara Abdelwahab Ghorashi and Faten Khalid Karim and Samih M. Mostafa},
year = {2026},
journal = {Journal of Visualized Experiments},
doi = {10.3791/71527},
url = {https://doi.org/10.3791/71527}
}RIS
TY - JOUR TI - Explainable Artificial Intelligence for Thermal Condition Assessment of High-Voltage Power Equipment Using Infrared Imaging AU - Kanaka Raju Kalla AU - R. Ramya Swetha AU - Mahesh K. AU - Ijjada Ramesh AU - CH V V Ramana AU - Sara Abdelwahab Ghorashi AU - Faten Khalid Karim AU - Samih M. Mostafa PY - 2026 JO - Journal of Visualized Experiments DO - 10.3791/71527 UR - https://doi.org/10.3791/71527 ER -
APA
Kalla, K. R., Swetha, R. R., K., M., Ramesh, I., Ramana, C. V. V., Ghorashi, S. A., Karim, F. K., & Mostafa, S. M. (2026). Explainable Artificial Intelligence for Thermal Condition Assessment of High-Voltage Power Equipment Using Infrared Imaging. Journal of Visualized Experiments. https://doi.org/10.3791/71527
Source records
- crossref · retrieved 2026-11-10T05:55:45.879Z