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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
algorithm three » algorithm where (Expand Search), algorithm pre (Expand Search)
python function » protein function (Expand Search)
three function » three functional (Expand Search), tree functional (Expand Search), time function (Expand Search)
algorithm b » algorithm _ (Expand Search), algorithms _ (Expand Search)
b function » _ function (Expand Search), a function (Expand Search), 1 function (Expand Search)
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Signal detection algorithm adapted from [1] yields exponential distributions and unrealistic mean durations of percepts.
Published 2020“…(Bottom) Trial-by-trial applications of the signal detection algorithm from [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1008152#pcbi.1008152.ref001" target="_blank">1</a>] with A: <i>C</i><sub><i>th</i></sub> = 4.01 and B: <i>C</i><sub><i>th</i></sub> = 4.21 yield exponentially distributed subsequent percept durations for <i>I</i> (blue) and <i>S</i> (red). …”
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(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions).
Published 2025“…<p>(a) Radar chart of these algorithms (23 Benchmark functions), (b) The sorting diagram of these algorithms (23 Benchmark functions).…”
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The optimal contact/quarantine rates from the family of functions (4) and (5) for Xi’an, Guangzhou and Yangzhou.
Published 2023“…(b, e, h) Root mean square error(), corresponding to fitting the time-dependent quarantine rate learned by TDINN algorithm using <i>q</i><sub>1</sub>(<i>t</i>), <i>q</i><sub>2</sub>(<i>t</i>) and <i>q</i><sub>3</sub>(<i>t</i>) in Xi’an, Guangzhou and Yangzhou. …”
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Parameter search fine-tuned through Differential Evolution algorithm.
Published 2022“…<p><b>A).</b> Evolutionary algorithm procedure, differential evolution, was used to optimize model parameters. …”
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S3 Data -
Published 2024“…Firstly, the method employs the envelope entropy as the adaptability function, optimizes the [k, ɑ] combination value of the VMD decomposition using the bacterial foraging-particle swarm algorithm (BFO-PSO), and utilizes the interrelation number R as the classification index with the Least Mean Square Algorithm (LMS) to classify, filter, and extract the effective signal from the decomposed signal. …”
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