HIL test results of split-μ road: (a)Vehicle velocity; (b) Braking distance; (c) Lateral displacement; (d) Lateral acceleration; (e)Vehicle sideslip angle; (f) Yaw rate. by Honglei Pang (22693724)

Subjects:

A comparison between the static Python-based visualizations of the p65 activity in activated fibroblasts and the dynamic, HTML-based visualizations that use these same reduction me... by Hector Torres (11708207)

PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

Subjects:

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

“…<div><p>Chest X-ray image classification plays an important role in medical diagnostics. Machine learning algorithms enhanced the performance of these classification algorithms by introducing advance techniques. …”

Design and implementation of DelaySSA. The input data for DelaySSA are reaction information, initial states, parameters and delays. Combining these into the simulation function, th... by Ziyan Jin (21021976)

Python code for a rule-based NLP model for mapping circular economy indicators to SDGs by Zahir Barahmand (18008947)

“…The package includes:</p><ul><li>The complete Python codebase implementing the classification algorithm</li><li>A detailed manual outlining model features, requirements, and usage instructions</li><li>Sample input CSV files and corresponding processed output files to demonstrate functionality</li><li>Keyword dictionaries for all 17 SDGs, distinguishing strong and weak matches</li></ul><p dir="ltr">These materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.…”

Ms.FPOP: A Fast Exact Segmentation Algorithm with a Multiscale Penalty by Arnaud Liehrmann (10970682)

“…<p>Given a time series in <math><mrow><mrow><mi>R</mi></mrow><mi>n</mi></mrow></math> with a piecewise constant mean and independent noises, we propose an exact dynamic programming algorithm for minimizing a least-squares criterion with a multiscale penalty, favoring well-spread changepoints. …”

ClaritySpectra: Raman spectra analysis tool by Aaron Celestian (9395696)

<b>Algorithm Pseudocode</b> by Yibin Zhao (22425801)

Mean HV. by Vahid Goodarzimehr (21343124)

“…Inverted Generational Distance, Spacing, Maximum Spread, and Hypervolume are used to identify the best algorithm. …”

IGD results. by Vahid Goodarzimehr (21343124)

“…Inverted Generational Distance, Spacing, Maximum Spread, and Hypervolume are used to identify the best algorithm. …”

Commonly used metaheuristics Hyperparameters. by Vahid Goodarzimehr (21343124)

“…Inverted Generational Distance, Spacing, Maximum Spread, and Hypervolume are used to identify the best algorithm. …”

MOSRS’s pseudocode. by Vahid Goodarzimehr (21343124)

“…Inverted Generational Distance, Spacing, Maximum Spread, and Hypervolume are used to identify the best algorithm. …”

The radius of this circular motion. by Vahid Goodarzimehr (21343124)

“…Inverted Generational Distance, Spacing, Maximum Spread, and Hypervolume are used to identify the best algorithm. …”

Hardest general multi-objective problems. by Vahid Goodarzimehr (21343124)

“…Inverted Generational Distance, Spacing, Maximum Spread, and Hypervolume are used to identify the best algorithm. …”

Friedman test for the Engineering problems. by Vahid Goodarzimehr (21343124)

“…Inverted Generational Distance, Spacing, Maximum Spread, and Hypervolume are used to identify the best algorithm. …”

Schematic of some engineering problems [34]. by Vahid Goodarzimehr (21343124)

“…Inverted Generational Distance, Spacing, Maximum Spread, and Hypervolume are used to identify the best algorithm. …”

The direction of the magnetic force [1]. by Vahid Goodarzimehr (21343124)

“…Inverted Generational Distance, Spacing, Maximum Spread, and Hypervolume are used to identify the best algorithm. …”

Friedman tests for the CEC 2009 problems. by Vahid Goodarzimehr (21343124)

“…Inverted Generational Distance, Spacing, Maximum Spread, and Hypervolume are used to identify the best algorithm. …”

Comparison of experimental and simulated data across frequency differences and tactile Conditions, with audio and tactile input spread profiles. by Farzaneh Darki (22076051)

“…<b>C-D:</b> The -dependent profiles for the auditory input spread and tactile input spread (modeled as exponential decays) were derived using an optimization algorithm minimizing the mean squared error between experimental and computational data from Experiment 1. …”