Showing 1 - 20 results of 9,611 for search '(((( algorithm from functions ) OR ( algorithm step function ))) OR ( algorithm python function ))', query time: 0.61s Refine Results
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    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. …”
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    Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements by Pascal Wang (10130612)

    Published 2021
    “…In `main.py`, the parameters for the TAMS algorithm are specified (trajectory time, time step, score function, number of particles, type of score threshold, maximum number of iterations, noise level etc.). …”
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    Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by Se-Hee Jo (20554623)

    Published 2025
    “…A major challenge in bioprocess simulation is the lack of physical and chemical property databases for biochemicals. A Python-based algorithm was developed for estimating the nonrandom two-liquid (NRTL) model parameters of aqueous binary systems in a straightforward manner from simplified molecular-input line-entry specification (SMILES) strings of substances in a system. …”
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    Results of the application of different clustering algorithms to average functional connectivity from healthy subjects. by Francisco Páscoa dos Santos (16510676)

    Published 2023
    “…<p>A) Resulting cluster inertia from applying the k-means algorithm described in the methods to empirical averaged functional connectivity from healthy subjects, with different numbers of clusters. …”
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    An expectation-maximization algorithm for finding noninvadable stationary states. by Robert Marsland (8616483)

    Published 2020
    “…<i>(b)</i> Metabolic byproducts move the relevant unperturbed state from <b>R</b><sup>0</sup> (gray ‘x’) to (black ‘x’), which is itself a function of the current environmental conditions. …”
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    Algorithm parameters. by Ruyi Dong (9038174)

    Published 2025
    “…Finally, the Cauchy-Gaussian mutation strategy is utilized to prevent the algorithm from falling into local traps. These three steps enable LLSKSO to achieve a dynamic balance between local and global search. …”
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