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processing algorithm » modeling algorithm (Expand Search), routing algorithm (Expand Search), tracking algorithm (Expand Search)
learning algorithm » learning algorithms (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
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a learning » _ learning (Expand Search), e learning (Expand Search), q learning (Expand Search)
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The segmentation process of this new algorithm.
Published 2025“…<div><p>With the development of computer vision and image processing technology, color segmentation of printed fabrics has gradually become a key task in the textile industry. …”
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The execution process of DPC algorithm.
Published 2025“…<div><p>With the development of computer vision and image processing technology, color segmentation of printed fabrics has gradually become a key task in the textile industry. …”
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Image 1_Plagiarism types and detection methods: a systematic survey of algorithms in text analysis.jpeg
Published 2025“…This paper presents a systematic survey of various types of plagiarism and the detection algorithms employed in text analysis. …”
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Algorithmic experimental parameter design.
Published 2024“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”
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Spatial spectrum estimation for three algorithms.
Published 2024“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”
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State-of-the-Art Skin Disease Classification Using Ensemble Learning and Advanced Image Processing
Published 2025“…The Crayfish Optimization Algorithm with a Reverse Wheel Strategy is applied for an effective feature segmentation, where the most relevant features are segmented. …”
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