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process optimization » model optimization (Expand Search)
codon optimization » wolf optimization (Expand Search)
same process » damage process (Expand Search), simple process (Expand Search), phase process (Expand Search)
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binary a » binary _ (Expand Search), binary b (Expand Search), hilary a (Expand Search)
a codon » _ codon (Expand Search), a common (Expand Search)
process optimization » model optimization (Expand Search)
codon optimization » wolf optimization (Expand Search)
same process » damage process (Expand Search), simple process (Expand Search), phase process (Expand Search)
data same » data came (Expand Search), data sample (Expand Search), data space (Expand Search)
binary a » binary _ (Expand Search), binary b (Expand Search), hilary a (Expand Search)
a codon » _ codon (Expand Search), a common (Expand Search)
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Improve algorithm settings.
Published 2025“…Existing solutions, such as traditional interference suppression techniques that rely on static spectrum allocation and fixed interference patterns, are no longer able to adapt to the rapidly changing electromagnetic environment and face computational complexity challenges when processing large amounts of real-time data. This study proposes an intelligent anti-interference algorithm that combines deep neural networks and game theory, and constructs a model based on near-end strategy optimization. …”
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Anti-jamming communication process.
Published 2025“…Existing solutions, such as traditional interference suppression techniques that rely on static spectrum allocation and fixed interference patterns, are no longer able to adapt to the rapidly changing electromagnetic environment and face computational complexity challenges when processing large amounts of real-time data. This study proposes an intelligent anti-interference algorithm that combines deep neural networks and game theory, and constructs a model based on near-end strategy optimization. …”
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Boundary processing.
Published 2024“…<div><p>In the process of Canny edge detection, a large number of high complexity calculations such as Gaussian filtering, gradient calculation, non-maximum suppression, and double threshold judgment need to be performed on the image, which takes up a lot of operation time, which is a great challenge to the real-time requirements of the algorithm. …”
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