Hip versus ankle joints torque for different methods. by Hedyeh Jafari (9667127)

Phase portraits comparison of the mentioned methods for the ankle joint. by Hedyeh Jafari (9667127)

Phase portraits comparison of the mentioned methods for the hip joint. by Hedyeh Jafari (9667127)

Simulation results with optimal epidemic control. by Sandor Beregi (22177739)

Melanoma Skin Cancer Detection Using Deep Learning Methods and Binary GWO Algorithm by Hussein Ali Bardan (21976208)

“…In this work, we propose a novel framework that integrates </p><p dir="ltr">Convolutional Neural Networks (CNNs) for image classification and a binary Grey Wolf Optimization (GWO) </p><p dir="ltr">algorithm for feature selection. …”

Optimal control and policy review for realistic simulated epidemics. by Sandor Beregi (22177739)

Optimal control for realistic simulated epidemics with uncertainty in the estimated reproduction number. by Sandor Beregi (22177739)

Results from trajectory optimization of walking. by Antoine Falisse (6061601)

Table1_Fine tuning a logical model of cancer cells to predict drug synergies: combining manual curation and automated parameterization.DOCX by Åsmund Flobak (789984)

Model selection by BO based on RCV(nv) from the simulated data with different noise levels. by László Zimányi (2649973)

datasheet1_Graph Neural Networks for Maximum Constraint Satisfaction.pdf by Jan Tönshoff (10192709)

A. Top – 14 days of continuous glucose monitor (CGM) data for a patient that spends all of their time within an optimal glucose range. by Jamison H. Burks (21029607)

Rendered image volumes in the MIPAV GUI. by Andrew Lauziere (14192836)

Table_1_An efficient decision support system for leukemia identification utilizing nature-inspired deep feature optimization.pdf by Muhammad Awais (263096)

“…To optimize feature selection, a customized binary Grey Wolf Algorithm is utilized, achieving an impressive 80% reduction in feature size while preserving key discriminative information. …”

Probability flux balances can determine biochemical rates regardless of global network dynamics. by Timon Wittenstein (12908474)

“…Although probability distributions differed greatly between the four systems, <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1010183#pcbi.1010183.e006" target="_blank">Eq (4)</a> could identify the functional dependence of the production rate of X₃ based on the numerical convex optimization algorithm detailed in the Materials & Methods. …”