Algorithm performance comparison. by Haiyan Wang (25821)

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”

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. …”

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

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

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Phases of proposed algorithm. by Muhammad Abdullah (3357692)

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Ranking of ML algorithms. by Yasemin Ayaz Atalan (21989402)

“…The AB model, on the other hand, has the highest error values in the test data set, but still provides an acceptable prediction accuracy. …”

Data Sheet 1_Development and validation of an endoscopic diagnostic model for sessile serrated lesions based on machine learning algorithms.docx by Xinying Yu (16400811)

“…Background and aims<p>Sessile serrated lesions (SSLs) are morphologically subtle and often misclassified as hyperplastic polyps (HPs), increasing colorectal cancer risks. We developed a machine learning (ML) model to improve endoscopic SSL diagnosis.…”

Pseudocode for the missForestPredict algorithm. by Elena Albu (15181070)

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Federated averaging algorithm. by Yan Qin (118276)

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

Diagnostic algorithm for a patient suspected of fracture-related infection (FRI). by Sarah Malek (342549)

The CCCP algorithm of EQSVR based on ClipDCD. by Aiman Tahir (21485064)

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.…”

The overview of the ML algorithms’ flowchart. by Yasemin Ayaz Atalan (21989402)

“…The AB model, on the other hand, has the highest error values in the test data set, but still provides an acceptable prediction accuracy. …”

Top-rated mode of transport based on the SEU algorithm (SEU scores from 0 to 40). by Johannes Weyer (13392175)

Process of facial feature extraction and recognition method based on ipca algorithm. by Lu Lin (201289)

S1 Data - An improved YOLOv8s-based UAV target detection algorithm by Xinwei Wang (352488)

Improve algorithm settings. by Hui Zhao (7395)

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Proposed hybrid GA- ML algorithms. by Ankur Kumar (1357440)

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