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method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
first algorithm » forest algorithm (Expand Search), forest algorithms (Expand Search), best algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data first » data fit (Expand Search), data figs (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
element » elements (Expand Search)
method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
first algorithm » forest algorithm (Expand Search), forest algorithms (Expand Search), best algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data first » data fit (Expand Search), data figs (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
element » elements (Expand Search)
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Code and data.
Published 2025“…The quality of optimization of local optimization algorithms is often limited by the initial data. Moreover, the influence of structural parameters on the performance is difficult to be reflected in the optimization process of traditional algorithms. …”
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Positive predictive value (PPV, %) by survival time following first seizure code.
Published 2025Subjects: -
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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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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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The run time for each algorithm in seconds.
Published 2025“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”
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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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G R code algorithm.
Published 2024“…The algorithm was developed and coded in Verilog and simulated using Modelsim. …”
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Code used for data analysis in this study.
Published 2025“…This study applies and evaluates machine learning (ML) algorithms to predict LBW and identify its key risk factors in Bangladesh. …”
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Codes for high-order analytical continuation algorithms based on direct derivation and recursion methods
Published 2024“…The optimal order of the analytical continuation algorithm is contingent upon the noise level of gravity data. …”
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