The SSIM for the different algorithms. by Bingbing Li (461702)

Subjects:

The improved Hard TA and Soft TA. by Bingbing Li (461702)

Subjects:

The diagram of Hard TA and Soft TA. by Bingbing Li (461702)

Subjects:

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

“…<i>(c)</i> Pseudocode for self-consistently computing <b>R</b>* and , which is identical to standard expectation-maximization algorithms employed for problems with latent variables in machine learning.…”

<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by 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.…”

Listed python codes of our algorithm with explanations (Python 3.9 recommended). by Takayuki Niizato (162226)

Python-based Monte Carlo Simulation Tool by Yangfan Jiang (9372782)

Python-Based Algorithm for Estimating NRTL Model Parameters with UNIFAC Model Simulation Results by 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). …”

Fitness function curve at weight factor 0.3. by Dhulfiqar Hakeem Dhayef (17729684)

Subjects:

Block ridge wave denoising flowchart. by Bingbing Li (461702)

Subjects:

Flow of wavelet threshold denoising. by Bingbing Li (461702)

Subjects:

Image smoothness of different methods. by Bingbing Li (461702)

Subjects:

Ridge wave transformation flowchart. by Bingbing Li (461702)

Subjects:

Three images of fingerprint patterns. by Bingbing Li (461702)

Subjects:

Similarity error of different methods. by Bingbing Li (461702)

Subjects:

Within binding sites of the same size, the ones with the highest average overlap (lowest average distance d_ij) with the others are disproportionately represented in the... by Virgile Andreani (17087764)

Subjects: “…unlike approximation algorithms…”

A hybrid algorithm based on improved threshold function and wavelet transform. by Bingbing Li (461702)

Subjects:

Comparison of algorithms in two cases. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

Flow of the NSGA-II algorithm. by Yi Tao (178829)

Subjects: “…evolutionary genetic algorithm…”

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

Subjects: