The Pseudo-Code of the IRBMO Algorithm. by Chenyi Zhu (9383370)

“…In order to comprehensively verify the performance of IRBMO, this paper designs a series of experiments to compare it with nine mainstream binary optimization algorithms. The experiments are based on 12 medical datasets, and the results show that IRBMO achieves optimal overall performance in key metrics such as fitness value, classification accuracy and specificity. …”

ML algorithms used in this study. by Toheeb Salahudeen (21368040)

“…This study employed advanced machine learning techniques to classify major depressive disorders based on clinical indicators and mitochondrial oxidative stress markers. …”

code&data by Liyuan Liu (18298084)

“…The study identified outdoor sports facilities in Shanghai using advanced deep-learning techniques on remote sensing data. It then developed a greedy heuristic algorithm based on the Gaussian Two-Step Floating Catchment Area method and Gini coefficient analysis for evaluating and optimizing facility accessibility and fairness. …”

Prediction of pharmaceuticals occurrence based on sales data and Machine learning algorithms. by Júlia Bijos (14489543)

“…</p><p dir="ltr"><b>Antibioticos/Carbamazepina</b>: contains the main codes of the prediction models to classify the occurrence concentrations of some antibiotics and Carbamazepine, by tree boosting algorithms.…”

Comparison of federated learning algorithms. by Duy-Dong Le (22057362)

Structure and the optimization technique of the algorithms adopted in the study. by M. A. Habib (16839161)

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Abbreviations used in the algorithm. by Richa Jain (6550391)

Data and code resources. by Sam Hall-McMaster (10343795)

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File includes code "Transfer learning.R" and "updatebeta.cpp" for implementing transfer learning methods. by Lulu Pan (8977979)

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

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

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Comparison of proposed model with default ML classifiers and recent existing studies. by Ankur Kumar (1357440)

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Diagram of the proposed solution algorithm. by Vytautas Abromavičius (22008573)

Comparison with recent studies: Comparison with recent studies. by Islam Zada (21755819)

TreeMap 2016 Stand Size Code Algorithm (Image Service) by U.S. Forest Service (17476914)

“…We used a random forests machine-learning algorithm to impute the forest plot data to a set of target rasters provided by Landscape Fire and Resource Management Planning Tools (LANDFIRE: https://landfire.gov). …”

Feature Importance Analysis of the Algorithms expressed by SHAP indices. by M. A. Habib (16839161)

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Statistical analysis of the prediction results from the ML algorithms. by M. A. Habib (16839161)

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Comparison of related studies in predicting COVID-19 diagnosis. by Balraj Preet Kaur (20370832)

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