Data_Sheet_1_SDA: a data-driven algorithm that detects functional states applied to the EEG of Guhyasamaja meditation.docx by Ekaterina Mikhaylets (17865407)

“…<p>The study presents a novel approach designed to detect time-continuous states in time-series data, called the State-Detecting Algorithm (SDA). The SDA operates on unlabeled data and detects optimal change-points among intrinsic functional states in time-series data based on an ensemble of Ward's hierarchical clustering with time-connectivity constraint. …”

The results of LASSO regression algorithm. by Xue Fu (549661)

Summary of recent and state-of-the-art optimization algorithms. by Mahmood A. Jumaah (22272371)

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Operation curve comparison among the EITO algorithms. by Yunhu Huang (21402795)

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Operation curve comparison among the EITO algorithms. by Yunhu Huang (21402795)

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Prediction algorithm. by Muhammad Irfan (255476)

“…Furthermore, numerous structures of ResNet-152 and SVM are also explored to improve the regularization function, base learners and compatible selection of the parameter values with respect to fitting capabilities for the final forecasting. …”

Example of landmark registration to align ‘peaks’ of high density in the probability density function (PDF) of CD4 expression on blood T cells for a target distribution and chosen... by Ross J. Burton (10941910)

Average running time line graph of different algorithms. by Wuyi Li (2984439)

Power consumption for SHA256 software algorithm. by Maytham S. Jabor (15853046)

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Summary statistics for the values of objective function—Phase I. by Fadi K. Dib (5204807)

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Summary statistics for the values of objective function—Phase II. by Fadi K. Dib (5204807)

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Plot of coverage attenuation function. by Junjie He (700642)

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WERs for different SE algorithms. by Fahad Khalil Peracha (15453204)

<i>p</i>-value of the Wilcoxon test for the optimization results of IWOA and other algorithms based 8 benchmark functions <i>(p</i>> = 0.5 are in bold). by Wei Liu (20030)

“…<p><i>p</i>-value of the Wilcoxon test for the optimization results of IWOA and other algorithms based 8 benchmark functions <i>(p</i>> = 0.5 are in bold).…”

<i>S</i>_<i>c</i> and rank of DSRABSQL and VDWOA algorithms in <i>G</i>_<i>1</i>. by Jin Zhang (53297)

<i>S</i>_<i>c</i> and rank of DSRABSQL and VDWOA algorithm in <i>G</i>_<i>2</i>. by Jin Zhang (53297)

Benchmark function. by Kuiyuan Pan (21145338)

ENSE values for each case of problem 2. by Zulqurnain Sabir (12269556)

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Fitness values for each case of problem 2. by Zulqurnain Sabir (12269556)

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MAD values for each case of problem 1. by Zulqurnain Sabir (12269556)

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