Search alternatives:
sorting algorithms » routing algorithm (Expand Search), learning algorithms (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
elements method » element method (Expand Search)
using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
sorting algorithms » routing algorithm (Expand Search), learning algorithms (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
elements method » element method (Expand Search)
using algorithm » using algorithms (Expand Search), routing algorithm (Expand Search), fusion algorithm (Expand Search)
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Algorithmic experimental parameter design.
Published 2024“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”
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Comparison of different optimization algorithms.
Published 2025Subjects: “…crayfish optimization algorithm…”
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Spatial spectrum estimation for three algorithms.
Published 2024“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”
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Result of feature importance sorting.
Published 2024“…The findings are as follows:</p><p>1.Machine learning algorithms can be effectively used for urban noise evaluation. …”
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Action potential of sample points in model 1.
Published 2025Subjects: “…crayfish optimization algorithm…”
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Action potential of sample points in model 2.
Published 2025Subjects: “…crayfish optimization algorithm…”
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Action potential of sample points in model 0.
Published 2025Subjects: “…crayfish optimization algorithm…”
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Scatter diagram of different principal elements.
Published 2025“…<div><p>A fault diagnosis method for oil immersed transformers based on principal component analysis and SSA LightGBM is proposed to address the problem of low diagnostic accuracy caused by the complexity of current oil immersed transformer faults. Firstly, data on dissolved gases in oil is collected, and a 17 dimensional fault feature matrix is constructed using the uncoded ratio method. …”
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The run time for each algorithm in seconds.
Published 2025“…These methods are tested on both real and synthetic data, with the former taken from a network of air quality monitoring stations across California. …”
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