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The results show that the proposed method can extract fault features of defective rolling element bearings with high computational efficiency.
The results show that the proposed method can extract the object reliably and quickly from the background.
This edge detection method can extract the boundaries for both binary and grayscale objects in any direction at one time.
The simple least squares method can extract the parameter variations from the estimated disturbances which include external disturbances and noise.
The experimental results show that the proposed method can extract the weak fault feature information of normal gear and fault gears successfully.
Experiments on synthetic and real scenes demonstrate that the proposed method can extract surface reflectance and orientation effectively, even in the presence of strong shadows and highlights.
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AI-based methods can extract patterns from data to highlight patients at risk of illness, those who will respond best to certain treatments and allow hospitals to deploy resources more efficiently.
While several studies indicate that nonlinear methods can extract valuable information from neuronal dynamics, others doubt their necessity and conjecture that the same information can be obtained using classical linear techniques.
These state-of-the-art methods can extract salient regions effectively.
Their work clearly shows how Deep Learning methods can extract high-level features from unsupervised data and demonstrates the advantages of using Deep Learning with unsupervised data (Big Data).
What available interpretation methods can extract the most DNA information for identifying criminals?
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