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method algorithm » network algorithm (Expand Search), means algorithm (Expand Search), mean algorithm (Expand Search)
making algorithm » learning algorithm (Expand Search), finding algorithm (Expand Search), means algorithm (Expand Search)
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data making » data backing (Expand Search), data mining (Expand Search), data tracking (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)
making algorithm » learning algorithm (Expand Search), finding algorithm (Expand Search), means algorithm (Expand Search)
code algorithm » cosine algorithm (Expand Search), novel algorithm (Expand Search), modbo algorithm (Expand Search)
data making » data backing (Expand Search), data mining (Expand Search), data tracking (Expand Search)
data code » data model (Expand Search), data came (Expand Search)
element » elements (Expand Search)
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Load prediction for October 1, 2024, ISO NE: Actual vs predicted by different models.
Published 2025Subjects: -
1028
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1029
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1031
Chaotic time series from DKSR stock data.
Published 2025“…In the first stage, the pharmaceutical industry data collected from the Tehran Stock Exchange (TSE) website is used to apply the robust ratio data envelopment analysis (RR-DEA) in GAMS software with respect to some specific financial indicators to determine efficient stocks in conditions of data uncertainty. …”
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1032
Chaotic time series from KIMI stock data.
Published 2025“…In the first stage, the pharmaceutical industry data collected from the Tehran Stock Exchange (TSE) website is used to apply the robust ratio data envelopment analysis (RR-DEA) in GAMS software with respect to some specific financial indicators to determine efficient stocks in conditions of data uncertainty. …”
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1033
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1034
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1036
Distance data of outlier detection.
Published 2025“…The MRCD algorithm enhances robustness by regularizing the covariance matrix, making it suitable for high-dimensional data where the number of variables exceeds the number of observations. …”
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1037
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1038
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1039
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1040