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Baobao Liu, Heying Wang, Zifan Cao, Yu Wang, Lu Tao, Jingjing Yang and Kaibing Zhang
Defect detection holds significant importance in improving the overall quality of fabric manufacturing. To improve the effectiveness and accuracy of fabric defect detection, we propose the PRC-Light YOLO model for fabric defect detection and establish a ...
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Yousef Alharbi
Valvular heart conditions significantly contribute to the occurrence of cardiovascular disease, affecting around 2?3 million people in the United States. The anatomical characteristics of cardiac muscles and valves can significantly influence blood flow ...
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Ruoyang Li, Shuping Xiong, Yinchao Che, Lei Shi, Xinming Ma and Lei Xi
Semantic segmentation algorithms leveraging deep convolutional neural networks often encounter challenges due to their extensive parameters, high computational complexity, and slow execution. To address these issues, we introduce a semantic segmentation ...
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Sergios Villette, Dimitris Adam, Alexios Alexiou, Nikolaos Aretakis and Konstantinos Mathioudakis
In a time when low emission solutions and technologies are of utmost importance regarding the sustainability of the aviation sector, this publication introduces a reduced-order physics-based model for combustion chambers of aeroengines, which is capable ...
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Marcin Konarzewski, Robert Panowicz and Adam Jeschke
The experience of recent military missions clearly shows the importance of protecting vehicles and the people they carry from mines and IEDs. This protection can be achieved in many ways, using both active and passive solutions. One of the most popular s...
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