Enhanced defect detection on wind turbine blades using binary segmentation masks and YOLO-Reference-Cited by-同舟云学术

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Enhanced defect detection on wind turbine blades using binary segmentation masks and YOLO

Published:2024-12 Issue: Volume:120 Page:109615
ISSN:0045-7906
Container-title:Computers and Electrical Engineering
language:en
Short-container-title:Computers and Electrical Engineering

Author:

Rizvi Syed Zeeshan,Jamil Mohsin^ORCID,Huang Weimin^ORCID

Publisher

Elsevier BV

Reference46 articles.

1. An improved deep-layer architecture for real-time end-to-end person recognition system;Jayavarthini;Comput Electr Eng,2021

2. A deep autoencoder approach for detection of brain tumor images;Nayak;Comput Electr Eng,2022

3. Crowd counting via localization guided transformer;Yuan;Comput Electr Eng,2022

4. Computer aided agriculture development for crop disease detection by segmentation and classification using deep learning architectures;Raj;Comput Electr Eng,2022

5. An intelligent video surveillance system for detecting the vehicles on road using refined YOLOV4;Ganapathy;Comput Electr Eng,2024

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