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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 heart » algorithm where (Expand Search), algorithm lennard (Expand Search), algorithm reality (Expand Search)
algorithm basis » algorithm based (Expand Search), algorithms based (Expand Search), algorithm ai (Expand Search)
heart function » graft function (Expand Search)
basis function » loss function (Expand Search), brain function (Expand Search), barrier function (Expand Search)
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101
The proposed system accuracies with respect to different selected angles (number of features).
Published 2020Subjects: -
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The result of Wilcoxon signed-rand test.
Published 2022Subjects: “…evolutionary genetic algorithm…”
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105
The Simulation and optimization process of pipe diameter selection.
Published 2022Subjects: “…evolutionary genetic algorithm…”
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106
Optional pipe diameter and unit price of NYN.
Published 2022Subjects: “…evolutionary genetic algorithm…”
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107
Optional pipe diameter and unit price of HN.
Published 2022Subjects: “…evolutionary genetic algorithm…”
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108
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Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic
Published 2019“…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …”
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111
Effect diagram of different smooth functions approaching positive sign function (k = 10).
Published 2023Subjects: -
112
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113
Comparison of scores obtained by our interpenetration and scoring algorithm (ISA) and ROSETTA for a subset of structures.
Published 2023“…However, our algorithm was 1000 times faster than pyROSETTA (both algorithms have been parallelized on a per-structure basis using the Python package joblib [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010531#pcbi.1010531.ref069" target="_blank">69</a>]).…”
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114
Algorithm pseudocode.
Published 2025“…On the basis of the Retinex model, multi-level decomposition of brightness is carried out, and different filtering parameters are set to obtain multiple illumination and reflection images with different scale information; Using exponential function and Sigmoid function to process reflection images and illumination images separately, reducing external interference on images of different scales, and solving the difficulty of enhancing images with uneven illumination, high noise, low illumination, and loss of details. …”
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