بدائل البحث:
algorithms across » algorithm allows (توسيع البحث), algorithms among (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
across function » across functional (توسيع البحث), across fractions (توسيع البحث), loss function (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm pre » algorithm where (توسيع البحث), algorithm used (توسيع البحث), algorithm from (توسيع البحث)
pre function » spread function (توسيع البحث), sphere function (توسيع البحث), three function (توسيع البحث)
algorithms across » algorithm allows (توسيع البحث), algorithms among (توسيع البحث)
algorithm python » algorithm within (توسيع البحث), algorithms within (توسيع البحث), algorithm both (توسيع البحث)
across function » across functional (توسيع البحث), across fractions (توسيع البحث), loss function (توسيع البحث)
python function » protein function (توسيع البحث)
algorithm pre » algorithm where (توسيع البحث), algorithm used (توسيع البحث), algorithm from (توسيع البحث)
pre function » spread function (توسيع البحث), sphere function (توسيع البحث), three function (توسيع البحث)
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Prediction performance of different optimization algorithms.
منشور في 2021"…<p>(A) 3 algorithms were compared in terms of the residuals of the cost function of the optimized TF on 7 mice datasets (Derivative free algorithm failed in optimizing a TF in a mouse). …"
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FAR-1: A Fast Integer Reduction Algorithm Compared to Collatz and Half-Collatz
منشور في 2025الموضوعات: -
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As for Fig 2, we present failure rates as a function of the cohort size (vertical axis) versus the number of distractors (horizontal axis), for the Smyth and McClave baseline algor...
منشور في 2020"…We note that the middle row is a special case: here, <i>f</i><sub>target</sub> only corresponds to the proportions of the embedded cohort, while “success” for these two panels is defined as recovering maximally diverse cohorts, as this particular algorithm is designed to do. The bottom row shows the same simulations as the middle row, but presents successes and failures when the targets that generated the embedded cohort are applied instead of the balanced targets that are part of the baseline’s objective function. …"
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Optimization algorithms performance comparison across benchmark functions.
منشور في 2024"…<p>Optimization algorithms performance comparison across benchmark functions.…"
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Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results
منشور في 2025"…This algorithm conducts a series of procedures: (1) fragmentation of the molecules into functional groups from SMILES, (2) calculation of activity coefficients under predetermined temperature and mole fraction conditions by employing universal quasi-chemical functional group activity coefficient (UNIFAC) model, and (3) regression of NRTL model parameters by employing UNIFAC model simulation results in the differential evolution algorithm (DEA) and Nelder–Mead method (NMM). …"
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<b>Opti2Phase</b>: Python scripts for two-stage focal reducer
منشور في 2025"…</li></ul><p dir="ltr">The scripts rely on the following Python packages. Where available, repository links are provided:</p><ol><li><b>NumPy</b>, version 1.22.1</li><li><b>SciPy</b>, version 1.7.3</li><li><b>PyGAD</b>, version 3.0.1 — https://pygad.readthedocs.io/en/latest/#</li><li><b>bees-algorithm</b>, version 1.0.2 — https://pypi.org/project/bees-algorithm</li><li><b>KrakenOS</b>, version 1.0.0.19 — https://github.com/Garchupiter/Kraken-Optical-Simulator</li><li><b>matplotlib</b>, version 3.5.2</li></ol><p dir="ltr">All scripts are modular and organized to reflect the design stages described in the manuscript.…"
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PyNoetic’s pre-processing module, which supports filtering and artifact removal, including ICA.
منشور في 2025الموضوعات: -
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A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data
منشور في 2022الموضوعات: -
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Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements
منشور في 2021"…<div>This directory contains Python 3 scripts implementing the Trajectory Adaptive Multilevel Sampling algorithm (TAMS), a variant of Adaptive Multilevel Splitting (AMS), for the study of rare events. …"
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