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algorithm python » algorithm within (Expand Search), algorithms within (Expand Search), algorithm both (Expand Search)
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<b>Opti2Phase</b>: Python scripts for two-stage focal reducer
Published 2025“…For proper execution, this folder must be placed within the <b>KrakenOS</b> directory, at the same level as the <b>Examples</b> folder.</p><p dir="ltr">The package includes:</p><ul><li>Scripts for first-order analysis, third-order modeling, optimization using a Physically Grounded Merit Function (PGMF), and RMS-based refinement.…”
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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
Published 2025Subjects: -
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Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements
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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Contrast enhancement of digital images using dragonfly algorithm
Published 2024“…The article deals with contrast enhancement as an optimization problem and uses the Dragonfly Algorithm (DA) to find the optimal grey-level intensity values. …”
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Biological Function Assignment across Taxonomic Levels in Mass-Spectrometry-Based Metaproteomics via a Modified Expectation Maximization Algorithm
Published 2025“…A major challenge in mass-spectrometry-based metaproteomics is accurately identifying and quantifying biological functions across the full taxonomic lineage of microorganisms. …”
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Function graph and algorithm iterative graph.
Published 2024“…The wild horse optimizer (WHO) is a new metaheuristic algorithm based on the social behavior of wild horses. …”
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Characteristics of patients identified by the ILD-algorithm.
Published 2023Subjects: “…previously validated algorithm…”
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ILD diagnoses identified by the ILD algorithm.
Published 2023Subjects: “…previously validated algorithm…”
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Improved NSGA-II algorithm flowchart.
Published 2024“…<div><p>To address the issue of insufficiently comprehensive representation of service composition indexes in the shared manufacturing environment, service reliability, confidence, and other indexes are decomposed in detail to establish a composition evaluation system, and a shared manufacturing service composition optimization model based on bi-level programming is proposed. The model takes Quality of Service (QoS) as the upper objective function and service reliability, service confidence and task fit as the lower objective function. …”
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The eVIP algorithm uses RNA-seq data to predict the function of somatic mutations.
Published 2021Subjects: -
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Algorithm flowchart.
Published 2024“…After determining the functional relationship between the control intensity and the number of tourists and the cumulative number of confirmed cases, the NSGA-II algorithm is employed to perform multi-objective optimization with consideration of the requirements for epidemic prevention and control and for economic development to get an appropriate traffic control intensity and suggest scientific traffic control measures. …”