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

Subjects:

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

<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.…”

GLIM: Greedy algorithm for edge selection in LIM. by Maurits H. W. Oostenbroek (11331123)

Performance of optimization algorithms in six different network types. by Maurits H. W. Oostenbroek (11331123)

Performance of optimization algorithms in an network of education organizations of ± 250 nodes. by Maurits H. W. Oostenbroek (11331123)

Effect of the transmission probability function on epidemic spread. by Soler Gabriela Bayolo (21011810)

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. …”

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)

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

Reward function related parameters. by Honglei Pang (22693724)

Subjects:

Efficient learning-based blur removal method based on sparse optimization for image restoration - Fig 9 by Haoyuan Yang (8630391)

Subjects:

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

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

Subjects:

Swarm intelligence algorithms for width and length on influence games by Francisco Muñoz (9455441)

“…Algorithms implemented on article "Finding extremal winning and losing coalitions for large influence games through swarm intelligence-based methods".…”

Predictive functions. by Niccolo Pescetelli (7000043)

Results of average processing speed for the compared methods. by Haoyuan Yang (8630391)

Subjects:

Basic structure of a GRNN. by Haoyuan Yang (8630391)

Subjects:

Results of comparisons of test motion-blurred images. by Haoyuan Yang (8630391)

Subjects:

Examples of the blur feature in atmospheric turbulence blur. by Haoyuan Yang (8630391)

Subjects: