Code and data - WST 895 thesis by Hoosain Ebrahim (14058588)

ATF-DF-WA Algorithm Experimental Code by jinhao zhong (20616116)

“…<p dir="ltr">The provided code files serve the following purposes:</p><ul><li><b>Preprocess.py</b> – This script handles text preprocessing tasks, such as cleaning and preparing raw text data for further processing.…”

Parameters of the machine learning algorithms used in the study. by Xiaoyan Yang (259084)

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The performance matrix of different machine learning algorithms. by Ahmad M. Al-Omari (20460931)

Machine learning prediction algorithm flow chart. by Ahmad M. Al-Omari (20460931)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Corporate bond coupon prediction based on deep learning by Tongyi Liu (92082)

“…Specifically, to optimize the hyperparameters of the proposed model, an improved butterfly optimization algorithm incorporating the concepts of good point sets, refraction opposition-based learning, switching probability adjustment, and Solis & Wets search strategies is developed. …”

ICD-10 codes for MACE definition. by Gilson Yuuji Shimizu (19837946)

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Feature importance plot obtained for regression-based algorithms. by Akshansh Mishra (21001499)

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QQESPM-GS - Codes and Data by Carlos Pontes (20835533)

“…<p dir="ltr">Codes and Data for the algorithms, methods and experiments presented in the paper titled "QQESPM-GS: an Efficient Solution for Geo-textual Search Parameterized by Graph-based Spatial Patterns".…”

Model-based decoding of learning. by Kevin S. Chen (9201767)

Lens imaging opposition-based learning. by Yuqi Xiong (12343771)

“…The algorithm integrates three key strategies: a precise population elimination strategy, which optimizes the population structure by eliminating individuals with low fitness and intelligently generating new ones; a lens imaging-based opposition learning strategy, which expands the exploration of the solution space through reflection and scaling to reduce the risk of local optima; and a boundary control strategy based on the best individual, which effectively constrains the search range to avoid inefficient searches and premature convergence. …”

Main code. by Jingguo Bi (21439766)

Code and data. by Crispin H. V. Cooper (21484906)

“…We suggest that the metaphor of discrete echo chambers may be inappropriate for meta-opinions: while measures of meta-opinion accuracy and its influences can reveal echo chamber characteristics where other metrics confirm their presence, the presence or absence of meta-opinion clusters is not itself sufficient to define an echo chamber. We publish both data and analysis code as supplementary material.…”

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

Imperialist competition algorithm with quasi-opposition-based learning for function optimization and engineering design problems by Dongge Lei (6836915)

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Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

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Results obtained from the supervised classification-based machine learning algorithms to predict deposition quality. by Akshansh Mishra (21001499)

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Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

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