Automated Identification of Overheated Belt Conveyor Idlers in Thermal Images with Complex Backgrounds Using Binary Classification with CNN
- DOI
- 10.3390/s222410004
- Published
- 2022-12-19
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s222410004,
title = {Automated Identification of Overheated Belt Conveyor Idlers in Thermal Images with Complex Backgrounds Using Binary Classification with CNN},
author = {Mohammad Siami and Tomasz Barszcz and Jacek Wodecki and Radoslaw Zimroz},
year = {2022},
journal = {Sensors},
doi = {10.3390/s222410004},
url = {https://doi.org/10.3390/s222410004}
}RIS
TY - JOUR TI - Automated Identification of Overheated Belt Conveyor Idlers in Thermal Images with Complex Backgrounds Using Binary Classification with CNN AU - Mohammad Siami AU - Tomasz Barszcz AU - Jacek Wodecki AU - Radoslaw Zimroz PY - 2022 JO - Sensors DO - 10.3390/s222410004 UR - https://doi.org/10.3390/s222410004 ER -
APA
Siami, M., Barszcz, T., Wodecki, J., & Zimroz, R. (2022). Automated Identification of Overheated Belt Conveyor Idlers in Thermal Images with Complex Backgrounds Using Binary Classification with CNN. Sensors. https://doi.org/10.3390/s222410004
Source records
- crossref · retrieved 2026-11-10T08:15:00.862Z