Folder with all data and algorithms by Jorge Servert Lerdo de Tejada (22290001)

Comparison results of prediction model with single algorithm and combination algorithm. by Jiayuan Wang (3765376)

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Evaluation of model aggregation algorithms. by JiaMing Wang (334865)

“…Additionally, the paper introduces the Gradient Similarity Model Aggregation (GSA) algorithm, which dynamically selects and weights updates from different models to reduce communication overhead. …”

ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Evaluation metrics of the models constructed by each algorithm. by Xiaoyan Yang (259084)

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Flow diagram of FPA-WPA algorithm. by Jiayuan Wang (3765376)

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Comparison of different optimization algorithms. by Hang Zhao (143592)

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Schematic representation of genetic algorithm (GA) as an evolutionary optimization algorithm. by Mohammad Reza Najafi (9288989)

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Comparison of homomorphic encryption algorithms. by JiaMing Wang (334865)

“…Additionally, the paper introduces the Gradient Similarity Model Aggregation (GSA) algorithm, which dynamically selects and weights updates from different models to reduce communication overhead. …”

Development of the CO₂ Adsorption Model on Porous Adsorbent Materials Using Machine Learning Algorithms by Hossein Mashhadimoslem (11456548)

Algorithm steps for house price prediction model. by Xuan Wang (55634)

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Types of machine learning algorithms. by Md. Merajul Islam (12646837)

“…<div><p>Background and objectives</p><p>Child undernutrition is a leading global health concern, especially in low and middle-income developing countries, including Bangladesh. Thus, the objectives of this study are to develop an appropriate model for predicting the risk of undernutrition and identify its influencing predictors among under-five children in Bangladesh using explainable machine learning algorithms.…”

Performance of models by different algorithms. by Yong Zhang (5893)

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Convergence curves of various algorithms under test functions. by Jiayuan Wang (3765376)

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Convergence curves of various algorithms under test functions. by Jiayuan Wang (3765376)

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Bagging Model Algorithm Flow. by Wen Yu (384130)

Algorithm deployment platform build. by Jie Wang (16762)

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

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Data Sheet 3_A prognostic model for highly aggressive prostate cancer using interpretable machine learning techniques.zip by Cong Peng (160287)

“…</p>Materials and methods<p>This study retrospectively analyzed data from 1,620 patients with extremely aggressive prostate cancer in the SEER database (2000–2020). …”

Data Sheet 2_A prognostic model for highly aggressive prostate cancer using interpretable machine learning techniques.zip by Cong Peng (160287)

“…</p>Materials and methods<p>This study retrospectively analyzed data from 1,620 patients with extremely aggressive prostate cancer in the SEER database (2000–2020). …”