Deep Learning-Based Recognition and Classification of Soiled Photovoltaic Modules Using HALCON Software for Solar Cleaning Robots.

Ahmed S, Rashid H, Qadir Z, Tayyab Q, Senjyu T, Elkholy MH.

Open source

DOI: 10.3390/s25051295
Published: 2025-02-20
Container: Sensors (Basel)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3390/s25051295,
  title = {Deep Learning-Based Recognition and Classification of Soiled Photovoltaic Modules Using HALCON Software for Solar Cleaning Robots.},
  author = {Ahmed S and  Rashid H and  Qadir Z and  Tayyab Q and  Senjyu T and  Elkholy MH.},
  year = {2025},
  journal = {Sensors (Basel)},
  doi = {10.3390/s25051295},
  url = {https://doi.org/10.3390/s25051295}
}

RIS

TY  - JOUR
TI  - Deep Learning-Based Recognition and Classification of Soiled Photovoltaic Modules Using HALCON Software for Solar Cleaning Robots.
AU  - Ahmed S
AU  -  Rashid H
AU  -  Qadir Z
AU  -  Tayyab Q
AU  -  Senjyu T
AU  -  Elkholy MH.
PY  - 2025
JO  - Sensors (Basel)
DO  - 10.3390/s25051295
UR  - https://doi.org/10.3390/s25051295
ER  -

APA

S, A., H, R., Z, Q., Q, T., T, S., & MH., E. (2025). Deep Learning-Based Recognition and Classification of Soiled Photovoltaic Modules Using HALCON Software for Solar Cleaning Robots.. Sensors (Basel). https://doi.org/10.3390/s25051295

Source records

europe-pmc · retrieved 2026-09-24T22:46:21.365Z
doaj · retrieved 2026-09-24T22:46:21.379Z
hal · retrieved 2026-09-24T22:46:21.413Z