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Zhen Jiang, Shubo Yang, Xi Wang and Yifu Long
The onboard adaptive model is essential to the model-based control and diagnosis of the engine. However, current methods, such as the Kalman-based and the data-driven ones, cannot meet the demands of performance estimation well. Their self-tuning process...
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Sangwei Lu, Wenxiang Zhou, Jinquan Huang, Feng Lu and Zhongguang Chen
Aero-engines are faced with severe challenges of availability and reliability in the increasing operation, and traditional gas path filtering diagnostic methods have limitations restricted by various factors such as strong nonlinearity of the system and ...
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Indrit Hoxha and Taoufik Meklachi
Curve fitting discrete data (x, y) with a smooth function is a complex problem when faced with sharply oscillating data or when the data are very large in size. We propose a straightforward method, one that is often overlooked, to fit discrete data (s" r...
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Alexander Buslaev, Vladimir I. Iglovikov, Eugene Khvedchenya, Alex Parinov, Mikhail Druzhinin and Alexandr A. Kalinin
Data augmentation is a commonly used technique for increasing both the size and the diversity of labeled training sets by leveraging input transformations that preserve corresponding output labels. In computer vision, image augmentations have become a co...
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Eugene Fedorov,Tetyana Utkina,Olga Nechyporenko,Yaroslav Korpan
Pág. 23 - 31
A technique for face detection in the image is proposed, which is based on binarization, scaling, and segmentation of the image, followed by the determination of the largest connected component that matches the image of the face.Modern methods of bi...
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