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Xin Fang, Tong Zhen and Zhihui Li
Wheat disease detection is crucial for disease diagnosis, pesticide application optimization, disease control, and wheat yield and quality improvement. However, the detection of wheat diseases is difficult due to their various types. Detecting wheat dise...
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Xiao Du, Jiajie Chen, Haibo Zhang and Jiqiang Wang
The aero-engine system is complex, and the working environment is harsh. As the fundamental component of the aero-engine control system, the sensor must monitor its health status. Traditional sensor fault detection algorithms often have many parameters, ...
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Cheng-Ying Tsai and Chieh-Li Chen
In recent decades, haze has become an environmental issue due to its effects on human health. It also reduces visibility and degrades the performance of computer vision algorithms in autonomous driving applications, which may jeopardize car driving safet...
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Zhuang Li, Xincheng Tian, Xin Liu, Yan Liu and Xiaorui Shi
Aiming to address the currently low accuracy of domestic industrial defect detection, this paper proposes a Two-Stage Industrial Defect Detection Framework based on Improved-YOLOv5 and Optimized-Inception-ResnetV2, which completes positioning and classif...
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Lilian Asimwe Leonidas and Yang Jie
In recent years, deep learning has been used in various applications including the classification of ship targets in inland waterways for enhancing intelligent transport systems. Various researchers introduced different classification algorithms, but the...
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