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Aircraft ducts play an indispensable role in various systems of an aircraft. The regular inspection and maintenance of aircraft ducts are of great significance for preventing potential failures and ensuring the normal operation of the aircraft. Traditional manual inspection methods are costly and inefficient, especially under low-light conditions. To address these issues, we propose a new defect detection model called LESM-YOLO. In this study, we integrate a lighting enhancement module to improve the accuracy and recognition of the model under low-light conditions. Additionally, to reduce the model's parameter count, we employ space-to-depth convolution, making the model more lightweight and suitable for deployment on edge detection devices. Furthermore, we introduce Mixed Local Channel Attention (MLCA), which balances complexity and accuracy by combining local channel and spatial attention mechanisms, enhancing the overall performance of the model and improving the accuracy and robustness of defect detection. Finally, we compare the proposed model with other existing models to validate the effectiveness of LESM-YOLO. The test results show that our proposed model achieves an mAP of 96.3%, a 5.4% improvement over the original model, while maintaining a detection speed of 138.7, meeting real-time monitoring requirements. The model proposed in this paper provides valuable technical support for the detection of dark defects in aircraft ducts. [ABSTRACT FROM AUTHOR]

This correction notice is for an article titled "Unravelling the spatial directionality of urban mobility" published in Nature Communications. The correction addresses an error in the introduction of the original article, where the concept of the population mobility vector (PMV) was introduced without a proper citation. The corrected version now includes a citation to reference 21. The correction has been made in both the PDF and HTML versions of the article. The authors of the article are Pengjun Zhao, Hao Wang, Qiyang Liu, Xiao-Yong Yan, and Jingzhong Li. [Extracted from the article]