بدائل البحث:
element component » latent component (توسيع البحث), elementary components (توسيع البحث), complement component (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
data algorithm » data algorithms (توسيع البحث), update algorithm (توسيع البحث), atlas algorithm (توسيع البحث)
element data » settlement data (توسيع البحث), relevant data (توسيع البحث), movement data (توسيع البحث)
element component » latent component (توسيع البحث), elementary components (توسيع البحث), complement component (توسيع البحث)
using algorithm » using algorithms (توسيع البحث), routing algorithm (توسيع البحث), fusion algorithm (توسيع البحث)
data algorithm » data algorithms (توسيع البحث), update algorithm (توسيع البحث), atlas algorithm (توسيع البحث)
element data » settlement data (توسيع البحث), relevant data (توسيع البحث), movement data (توسيع البحث)
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1
Scatter diagram of different principal elements.
منشور في 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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Comparison of different optimization algorithms.
منشور في 2025الموضوعات: "…crayfish optimization algorithm…"
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Algorithmic experimental parameter design.
منشور في 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.
منشور في 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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9
Correlation heatmap of the principal components.
منشور في 2025"…Investors will always look for a portfolio that can handle the required amount of risk while still producing the desired level of expected returns. This article uses feature-based models to investigate the primary elements that contribute to the optimal composition of a specific portfolio. …"
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10
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The run time for each algorithm in seconds.
منشور في 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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12
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Risk element category diagram.
منشور في 2025"…This article extracted features related to risk assessment, such as weather factors, airport facility inspections, and security check results, and conducted qualitative and quantitative analysis on these features to generate a datable risk warning weight table. This article used these data to establish an LSTM model, which trained LSTM to identify potential risks and provide early warning by learning patterns and trends in historical data. …"
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Comparison of original VMD and MOCOA-VMD results.
منشور في 2025الموضوعات: "…crayfish optimization algorithm…"