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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
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algorithm cl » algorithm co (Expand Search), algorithm _ (Expand Search), algorithm b (Expand Search)
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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 from » algorithm flow (Expand Search)
from function » from functional (Expand Search), fc function (Expand Search)
algorithm cl » algorithm co (Expand Search), algorithm _ (Expand Search), algorithm b (Expand Search)
cl function » l function (Expand Search), cell function (Expand Search), cep function (Expand Search)
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Python code, input data, and outputs of Fourier analysis and Dynamic Time Warping from McGlasson et al.
Published 2024“…<h2><strong>NPLD-periodicity</strong></h2> <h4>Written by Riley McGlasson</h4> <h4>A collection of Python functions and Jupyter Notebooks that quantitatively asses similarities between the radar stratigraphy of the Martian NPLD and Korolev crater. …”
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DMTD algorithm.
Published 2025“…On the basis of EITO<sub>E</sub>, we propose EITO<sub>P</sub> algorithm using the PPO algorithm to optimize multiple objectives by designing reinforcement learning strategies, rewards, and value functions. …”
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Comparison of details of different algorithms.
Published 2024“…In the network structure, the PS-UNet++ network is based on the sub-pixel convolution upsampling module, and the UNet++ network is constructed as the feature extraction sub-network of the optimization algorithm to extract more detailed information from the model. …”
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Structure of the LMPEC algorithm model.
Published 2024“…In the network structure, the PS-UNet++ network is based on the sub-pixel convolution upsampling module, and the UNet++ network is constructed as the feature extraction sub-network of the optimization algorithm to extract more detailed information from the model. …”
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Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy
Published 2021“…Finally, we select the T4 L99A and T4 L99A/M102Q decoy sets, containing dozens of binders and experimentally validated nonbinders, to test our approach in distinguishing binders from nonbinders. We illustrate that our new algorithms for searching and scoring have superior performance to rigid receptor CDOCKER as well as AutoDock Vina. …”
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Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy
Published 2021“…Finally, we select the T4 L99A and T4 L99A/M102Q decoy sets, containing dozens of binders and experimentally validated nonbinders, to test our approach in distinguishing binders from nonbinders. We illustrate that our new algorithms for searching and scoring have superior performance to rigid receptor CDOCKER as well as AutoDock Vina. …”
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Multidomain, Automated Photopatterning of DNA-functionalized Hydrogels (MAPDH).
Published 2024“…<b>B)</b> Pseudocode for MAPDH in Python. The algorithm takes as input the vials that will be flowed through the patterning chamber. …”
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Training algorithm flow.
Published 2024“…<div><p>In daily life, two common algorithms are used for collecting medical disease data: data integration of medical institutions and questionnaires. …”
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Table_1_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf
Published 2020“…Moreover, RSA is suitable for researchers to compare data from different modalities and even bridge data from different species. …”
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Presentation_2_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf
Published 2020“…Moreover, RSA is suitable for researchers to compare data from different modalities and even bridge data from different species. …”