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Correction: Siddiqui, Z.A.; Park, U. A Drone Based Transmission Line Components Inspection System with Deep Learning Technique. Energies 2020, 13 , 3348.
- Source :
- Energies (19961073); Nov2023, Vol. 16 Issue 22, p7626, 14p
- Publication Year :
- 2023
-
Abstract
- This document is a correction notice for a research paper titled "A Drone Based Transmission Line Components Inspection System with Deep Learning Technique." The authors have identified errors in the figures and main body paragraphs of the paper and have provided corrected versions of the figures. They have also made changes to the abstract and introduction sections. The paper discusses the use of a drone to detect and analyze transmission line components for defects, utilizing deep learning techniques and convolutional neural networks. The authors acknowledge the errors in the original paper and apologize for any confusion caused. The research is funded by the Korean Ministry of the Interior and Safety. The authors of the paper are Zahid Ali Siddiqui and Unsang Park. [Extracted from the article]
Details
- Language :
- English
- ISSN :
- 19961073
- Volume :
- 16
- Issue :
- 22
- Database :
- Complementary Index
- Journal :
- Energies (19961073)
- Publication Type :
- Academic Journal
- Accession number :
- 173826443
- Full Text :
- https://doi.org/10.3390/en16227626