Showing 141 - 160 results of 9,086 for search '(( algorithm python function ) OR ((( algorithm from functional ) OR ( algorithm cl function ))))', query time: 0.32s Refine Results
  1. 141

    DMTD algorithm. by Yunhu Huang (21402795)

    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). …”
  2. 142

    Python code, input data, and outputs of Fourier analysis and Dynamic Time Warping from McGlasson et al. by Riley McGlasson (13876874)

    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. …”
  3. 143

    Algorithm operation steps. by Junyan Wang (4738518)

    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. …”
  4. 144

    Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy by Yujin Wu (2901128)

    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. …”
  5. 145

    Flexible CDOCKER: Hybrid Searching Algorithm and Scoring Function with Side Chain Conformational Entropy by Yujin Wu (2901128)

    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. by Chao Ma (207385)

    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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    Multidomain, Automated Photopatterning of DNA-functionalized Hydrogels (MAPDH). by Moshe Rubanov (7289156)

    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 by Zitong Lu (9913770)

    Published 2020
    “…Moreover, RSA is suitable for researchers to compare data from different modalities and even bridge data from different species. …”
  19. 159

    Presentation_2_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf by Zitong Lu (9913770)

    Published 2020
    “…Moreover, RSA is suitable for researchers to compare data from different modalities and even bridge data from different species. …”
  20. 160

    Table_2_NeuroRA: A Python Toolbox of Representational Analysis From Multi-Modal Neural Data.pdf by Zitong Lu (9913770)

    Published 2020
    “…Moreover, RSA is suitable for researchers to compare data from different modalities and even bridge data from different species. …”