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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
python function » protein function (Expand Search)
from functional » brain functional (Expand Search)
algorithm from » algorithm flow (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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141
DMTD algorithm.
Published 2025“…Finally, we conducted comparative tests of the manual driving, intelligent driving algorithm (ITOR, STON), and the algorithms proposed in this paper, EITO, using real line data from the Yizhuang Line of Beijing Metro (YLBS). …”
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142
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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143
Algorithm operation steps.
Published 2025“…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …”
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144
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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145
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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Coarse-fine optimization algorithm.
Published 2025“…The improved gradient extraction method combines the Scale Invariant Feature Transformation (SIFT) algorithm to form a new multi-scale image sharpness evaluation function, SIFT Quad-Tenen. …”
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153
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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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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159
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. …”
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160
Table_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. …”