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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
algorithm its » algorithm i (Expand Search), algorithm etc (Expand Search), algorithm iqa (Expand Search)
its function » i function (Expand Search), loss function (Expand Search), cost function (Expand Search)
algorithm co » algorithm cl (Expand Search), algorithm _ (Expand Search), algorithm b (Expand Search)
co function » cost function (Expand Search), cep function (Expand Search), _ function (Expand Search)
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Presentation_1_Identification of the Real Hub Gene and Construction of a Novel Prognostic Signature for Pancreatic Adenocarcinoma Based on the Weighted Gene Co-expression Network A...
Published 2021“…Thus, we aimed to identify real hub genes to better explore the pathophysiology of PAAD and construct a prognostic panel to better predict the prognosis of PAAD using the weighted gene co-expression network analysis (WGCNA) and the least absolute shrinkage and selection operator (LASSO) algorithms.…”
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The pseudocode for the NAFPSO algorithm.
Published 2025“…In addition, with the increase of pipeline complexity, NACFPSO can still maintain its advantages in convergence speed and scheduling time, especially in scheduling time, which further verifies the optimization effect of the algorithm in emergency management.…”
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PSO algorithm flowchart.
Published 2025“…In addition, with the increase of pipeline complexity, NACFPSO can still maintain its advantages in convergence speed and scheduling time, especially in scheduling time, which further verifies the optimization effect of the algorithm in emergency management.…”
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Parselmouth for bioacoustics: automated acoustic analysis in Python
Published 2023“…Five years ago, the Python package Parselmouth was released to provide easy and intuitive access to all functionality in the Praat software. …”
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Parameters of the test function.
Published 2023“…The adaptive adjustment of the transition probability effectively balances the development and exploration abilities of the algorithm. The improved flower pollination algorithm (IFPA) outperformed six classical benchmark functions that were used to verify the superiority of the improved algorithm. …”
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Unimodal benchmark functions.
Published 2024“…We conduct simulation experiments and compare the proposed algorithm with the original WOA on thirteen benchmark test functions. …”
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Multimodal benchmark functions.
Published 2024“…We conduct simulation experiments and compare the proposed algorithm with the original WOA on thirteen benchmark test functions. …”
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Route for bays29 output by ABSQL algorithm.
Published 2023“…DSRABSQL builds upon the Q-learning (QL) algorithm. Considering its problems of slow convergence and low accuracy, four strategies within the QL framework are designed first: the weighting function-based reward matrix, the power function-based initial Q-table, a self-adaptive <i>ε-beam</i> search strategy, and a new Q-value update formula. …”
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Algorithm parameters.
Published 2024“…Introducing nonlinear convergence factors based on positive cut functions to changing the convergence of algorithms, the early survey capabilities and later development capabilities of the algorithm are balanced. …”
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