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

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

Training algorithm flow. by Xing Chen (140292)

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Comparison of different optimization algorithms. by Hang Zhao (143592)

Architecture of AGAN algorithm model. by Xing Chen (140292)

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ROC curves of six algorithms. by Xing Chen (140292)

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Exponentially attenuated sinusoidal function. by Hang Zhao (143592)

“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”

Python implementation of the Trajectory Adaptive Multilevel Sampling algorithm for rare events and improvements by 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. …”

PFC value of algorithms on two datasets. by Xing Chen (140292)

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

“…</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.</li><li>A subfolder named <b>Images</b>, which stores the figures generated by six of the seven provided scripts.…”

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

Adaptive H-REMD simulation algorithm. by Danial Pourjafar-Dehkordi (7165523)

Example of landmark registration to align ‘peaks’ of high density in the probability density function (PDF) of CD4 expression on blood T cells for a target distribution and chosen... by Ross J. Burton (10941910)

Scores of the officially ranked methods on the test set for the clinical outcome identification task. by Matthew A. Reyna (16965038)

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Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

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Data_Sheet_1_Automatic Detection for Multi-Labeled Cardiac Arrhythmia Based on Frame Blocking Preprocessing and Residual Networks.PDF by Zicong Li (228040)

“…<p>Introduction: Electrocardiograms (ECG) provide information about the electrical activity of the heart, which is useful for diagnosing abnormal cardiac functions such as arrhythmias. Recently, several algorithms based on advanced structures of neural networks have been proposed for auto-detecting cardiac arrhythmias, but their performance still needs to be further improved. …”

Algorithm results based on experimental likelihood functions. by Nicolas Herzig (9230425)

Box plot of the algorithms based on 12 benchmark functions. by Chuang Zhang (2199421)

“…<p>Box plot of the algorithms based on 12 benchmark functions.</p>…”

Convergence behavior of the algorithms based on 12 benchmark functions. by Chuang Zhang (2199421)

“…<p>Convergence behavior of the algorithms based on 12 benchmark functions.</p>…”

Algorithm results based on FE simulated likelihood functions. by Nicolas Herzig (9230425)