Performance of machine learning algorithms. by Wenxue Liu (6877754)

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

“…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.…”

Algorithm of model development and validation. by Bethan Cracknell Daniels (20469396)

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

Supporting data for “Developing algorithms to optimize recommender system for self-regulated learning promotion in online contexts: a design-based study” by Long Zhang (11129139)

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

“…To address these challenges, this paper proposes a federated learning-based intrusion detection algorithm (NIDS-FGPA) that utilizes gradient similarity model aggregation. …”

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

“…To address these challenges, this paper proposes a federated learning-based intrusion detection algorithm (NIDS-FGPA) that utilizes gradient similarity model aggregation. …”

Federated averaging algorithm. by Yan Qin (118276)

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

The pseudocode of the RFE algorithm. by Zuzhen Ji (17593348)

Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

Learning curves under various machine algorithms. by Jinlin Teng (17972595)

“…Efficient and cost-effective methods for obtaining noise distribution data are of great interest. This study introduces various machine learning methods and applies the Random Forest algorithm, which performed best, to investigate noise suitability in the central urban area of Nanchang City. …”

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

“…Different machine learning (ML) algorithms, such as NN, MLP-GWO, XGBoost, RF, DT, and SVM, have been applied to display the CO₂ adsorption performance as a function of characteristics and adsorption isotherm parameters. …”

Data Sheet 1_Development of a novel artificial intelligence algorithm for interpreting fetal heart rate and uterine activity data in cardiotocography.docx by Rohit Pardasani (22253656)

“…</p>Conclusion<p>This study demonstrates the successful development of a novel AI algorithm utilizing FHR and UA data to analyze and interpret fetal tracing events and parameters. …”

<b>Discrimination of gold deposit types based on big data analysis and machine learning techniques</b> by Lihao Feng (20837036)

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…The results of numerical simulations and sea trial experimental data indicate that the use of subarrays comprising 5 and 3 array elements, respectively, is sufficient to effectively estimate 12 source angles. …”

The processed data and results of manuscript "A Unified Framework for Deciphering Cellular Dynamics byLearning and Interpreting Vector Field" by Ruihong Xu (19517776)

Silhouette scores for each clustering algorithm. by Zoïe W. Alexiou (21989297)

The steps of applying RF algorithm. by Zuzhen Ji (17593348)

Supplementary data for "Algorithm-level data-guided correction for class imbalance in biological machine learning predictions: Protein interactions as a case" by Ebrahim Barzegari (21152114)

“…Correct and efficient use of algorithm-level methods, on the other hand, needs paying heed to data structure and content. …”