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algorithm which » algorithm where (Expand Search), algorithm within (Expand Search)
which function » beach function (Expand Search)
algorithm wave » algorithm based (Expand Search), algorithm where (Expand Search), algorithm a (Expand Search)
wave function » rate function (Expand Search), a function (Expand Search), gene function (Expand Search)
algorithm pre » algorithm where (Expand Search), algorithm used (Expand Search), algorithm from (Expand Search)
pre function » spread function (Expand Search), sphere function (Expand Search), three function (Expand Search)
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A Genetic Algorithm Approach for Compact Wave Function Representations in Spin-Adapted Bases
Published 2025Subjects: -
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The SSIM for the different algorithms.
Published 2024“…The mean square error decreased by 0.10dB. When using the algorithm for denoising, the research method had a minimum denoising time of only 13ms, which saved 9ms and 3ms compared to the hard threshold algorithm (Hard TA) and soft threshold algorithm (Soft TA), respectively. …”
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Ridge wave transformation flowchart.
Published 2024“…The mean square error decreased by 0.10dB. When using the algorithm for denoising, the research method had a minimum denoising time of only 13ms, which saved 9ms and 3ms compared to the hard threshold algorithm (Hard TA) and soft threshold algorithm (Soft TA), respectively. …”
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Block ridge wave denoising flowchart.
Published 2024“…The mean square error decreased by 0.10dB. When using the algorithm for denoising, the research method had a minimum denoising time of only 13ms, which saved 9ms and 3ms compared to the hard threshold algorithm (Hard TA) and soft threshold algorithm (Soft TA), respectively. …”
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Feature selection algorithm.
Published 2023“…The present study aimed to understand the physiological effects of VNS on gastrointestinal (GI) function, which is crucial for developing more effective adaptive closed-loop VNS therapies for GI diseases. …”
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Features selected by optimization algorithms.
Published 2024“…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. The suggested strategy facilitates the acquisition of precise functionality attributes, hence simplifying the detection procedure. …”
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Hybrid feature selection algorithm of CSCO-ROA.
Published 2024“…Next, we propose a hybrid chaotic sand cat optimization technique, together with the Remora Optimization Algorithm (ROA) for feature selection. The suggested strategy facilitates the acquisition of precise functionality attributes, hence simplifying the detection procedure. …”
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