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Touraj Farsadi, Majid Ahmadi, Melin Sahin, Hamed Haddad Khodaparast, Altan Kayran and Michael I. Friswell
In the field of aerospace engineering, the design and manufacturing of high aspect ratio composite wings has become a focal point of innovation and efficiency. These long, slender wings, constructed with advanced materials such as carbon fiber and employ...
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Muhammet E. Torbali, Argyrios Zolotas and Nicolas P. Avdelidis
Non-destructive testing (NDT) of aerospace structures has gained significant interest, given its non-destructive and economic inspection nature enabling future sustainable aerospace maintenance repair operations (MROs). NDT has been applied to many diffe...
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Christoph Hinniger and Joachim Rüter
Autonomous unmanned aircraft need a good semantic understanding of their surroundings to plan safe routes or to find safe landing sites, for example, by means of a semantic segmentation of an image stream. Currently, Neural Networks often give state-of-t...
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Muhamad Azim Azhad Shahrim, Chen Ciang Chia, Hafiz Rashidi Ramli, Mohammad Yazdi Harmin and Jung-Ryul Lee
Aerospace thin-walled structures are susceptible to various forms of damage and they can be effectively inspected using Lamb wavefields. However, Lamb wavefields contain at least two dispersive modes which interfere with the generation of a clear image f...
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Wenjie Kong, Hao Dong, Jie Wu, Yidi Zhao and Zhou Jin
Porous media has potential applications in fluid machinery and in aerospace science and engineering due to its excellent drag-reduction properties. We carried out experimental time-resolved particle image velocimetry (TR-PIV) research, laying porous medi...
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Ming Yang, Haoliang Chang, Jinhuan Chen and Xinyu Zhu
A photodetector is a type of optoelectronic device with excellent photoelectric conversion abilities, which has especially important applications in many fields such as optical communication, image sensing, aerospace/environmental detection, and military...
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Chengwei Fei, Jiongran Wen, Lei Han, Bo Huang and Cheng Yan
The lack of high-quality, highly specialized labeled images, and the expensive annotation cost are always critical issues in the image segmentation field. However, most of the present methods, such as deep learning, generally require plenty of train cost...
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Vladimir Skripachev,Mikhail Guida,Nikolay Guida,Alexander Zhukov
Pág. 53 - 61
The article discusses in detail the use of collapsible neural networks (CNNs) for use in solving problems of detecting objects in aerospace images. The structure of collapsing neural networks is revealed, taking into account the specifics of the applicat...
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Marco Peterson, Minzhen Du, Bryant Springle and Jonathan Black
The proliferation of reusable space vehicles has fundamentally changed how assets are injected into the low earth orbit and beyond, increasing both the reliability and frequency of launches. Consequently, it has led to the rapid development and adoption ...
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Jonas Aust, Sam Shankland, Dirk Pons, Ramakrishnan Mukundan and Antonija Mitrovic
Background?In the field of aviation, maintenance and inspections of engines are vitally important in ensuring the safe functionality of fault-free aircrafts. There is value in exploring automated defect detection systems that can assist in this process. ...
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