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Using CNNs for Photovoltaic Panel Defect Detection via Infrared Thermography to Support Industry 4.0 Cover

Using CNNs for Photovoltaic Panel Defect Detection via Infrared Thermography to Support Industry 4.0

Business Systems Research Journal
Volume 15 (2024): Issue 1 (September 2024)
By: ,   and    
Open Access
|Sep 2024
Authors

Authors

Mislav Spajić

mislav@airspect.hr

Algebra University, Croatia

Mirko Talajić

mirko.talajic@algebra.hr

Algebra University, Croatia

Leo Mršić

leo.mrsic@algebra.hr

Algebra University, Croatia
DOI: https://doi.org/10.2478/bsrj-2024-0003 | Journal eISSN: 1847-9375 | Journal ISSN: 1847-8344
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Language: English
Page range: 45 - 66
Submitted on: Jun 28, 2024
Accepted on: Aug 17, 2024
Published on: Sep 26, 2024
Published by: IRENET - Society for Advancing Innovation and Research in Economy
In partnership with: Paradigm Publishing Services
Publication frequency: 2 issues per year
Keywords:
Convolutional Neural Networks,
Photovoltaic Panels,
Defect Detection,
Infrared Thermography,
Solar Energy
Related subjects:
Business and economics,
Business management,
Management, organization, corporate governance,
Business management, other,
Mathematics and statistics for economists,
Mathematics

© 2024 Mislav Spajić, Mirko Talajić, Leo Mršić, published by IRENET - Society for Advancing Innovation and Research in Economy
This work is licensed under the Creative Commons Attribution 4.0 License.

Volume 15 (2024): Issue 1 (September 2024)
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