Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results حسب Se-Hee Jo (20554623)

"…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). …"

Automatic cropping algorithm. حسب Thomas W Georgi (12427189)

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer حسب Morgan Najera (21540776)

"…</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.…"

Constructing the dynamical law. حسب Robert Marsland (8616483)

Flowchart showing the basic functioning of our implementation of the algorithm described in this paper. حسب Pablo Rodríguez-Sánchez (6711683)

"…<p>Flowchart showing the basic functioning of our implementation of the algorithm described in this paper.…"

Data_Sheet_1_Resting-State Functional Connectivity Estimated With Hierarchical Bayesian Diffuse Optical Tomography.docx حسب Takatsugu Aihara (4433524)

"…We recently proposed a hierarchical Bayesian (HB) DOT algorithm and verified its performance in terms of task-related brain responses. …"

Comparison of the performance of the emulators as a function of the size of the training set (resolution) for the agent-based cellular automata (CA) model of brain tumours. حسب Andreas Christ Sølvsten Jørgensen (13911723)

Comparison of the performance of the emulators as a function of the size of the training set (resolution) for the agent-based cellular automata (CA) model of brain tumours. حسب Andreas Christ Sølvsten Jørgensen (13911723)

Confusion matrices of machine learning models trained on data oversampled by SMOTE and data trained with class weights given to the loss function. حسب Lucas Teoh (12878206)

Practical rules for summing the series of the Tweedie probability density function with high-precision arithmetic حسب NELSON L. DIAS (8078003)

"…With these practical rules, simple summation algorithms provide sufficiently robust results for the calculation of the density function and its definite integrals. …"

Comparison between algorithm and expert cell counting. حسب Adam L. Tyson (10892822)

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A Python Package for the Localization of Protein Modifications in Mass Spectrometry Data حسب Anthony S. Barente (14035175)

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An expectation-maximization algorithm for finding noninvadable stationary states. حسب Robert Marsland (8616483)

Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements حسب Pascal Wang (10130612)

"…<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. …"

SP results of algorithms in the CEC 2009 test functions. حسب Vahid Goodarzimehr (21343124)

MS results of algorithms in the CEC 2009 test functions. حسب Vahid Goodarzimehr (21343124)

S1 File - حسب Yuh-Chin T. Huang (17867207)

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S1 Dataset - حسب Yuh-Chin T. Huang (17867207)

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Main parameters of braking system. حسب Honglei Pang (22693724)

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Simulation Results Plot of the SBW System Response: (a) Step response curve of the SBW system; (b) Sine response curve of the SBW system; (c) Steady state error curve of the SBW sy... حسب Honglei Pang (22693724)

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