A Survey of CNN-Based Approaches for Crack Detection in Solar PV Modules:Current Trends and Future Directions

Hassan, Sharmarke and Dhimish, Mahmoud (2023) A Survey of CNN-Based Approaches for Crack Detection in Solar PV Modules:Current Trends and Future Directions. Solar. pp. 663-683. ISSN 2673-9941

Abstract

Metadata

Item Type: Article
Authors/Creators:
  • Hassan, Sharmarke
  • Dhimish, Mahmoud (md1580@york.ac.uk)
Copyright, Publisher and Additional Information:

© 2023 by the authors.

Dates:
  • Published: 1 December 2023
  • Accepted: 26 November 2023
Institution: The University of York
Academic Units: The University of York > Faculty of Sciences (York) > Electronic Engineering (York)
Depositing User: Pure (York)
Date Deposited: 01 Dec 2023 12:30
Last Modified: 25 Mar 2025 00:14
Published Version: https://doi.org/10.3390/solar3040036
Status: Published
Refereed: Yes
Identification Number: 10.3390/solar3040036
Open Archives Initiative ID (OAI ID):

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Filename: solar_03_00036.pdf

Description: A Survey of CNN-Based Approaches for Crack Detection in Solar PV Modules: Current Trends and Future Directions

Licence: CC-BY 2.5

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