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. …”

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

Algorithm flowchart. by Mingyi Huo (21743594)

Improve algorithm settings. by Hui Zhao (7395)

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Block diagram of the Kalman filter algorithm with correlated measurement noise. by Shu WU (20721527)

Block diagram of the Kalman filter algorithm with uncorrelated measurement noise. by Shu WU (20721527)

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

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

Flowchart of the general algorithm for one trial. by Junying Wang (509009)

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. …”

Energy consumption in the PPO process. by Yunhu Huang (21402795)

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Running time in the PPO process. by Yunhu Huang (21402795)

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Optimize process data and final results by Dawei Wang (471687)

Explained variance ration of the PCA algorithm. by Abeer Aljohani (18497914)

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Flowchart of the new algorithm. by Jinyu Wang (381467)

“…To address these problems, we propose a new, efficient real-time SLR data processing method. This algorithm combines single-stage filtering with a histogram-based approach and incorporates polynomial fitting to establish a predictive model. …”

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

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

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Algorithms runtime comparison. by Meilin Zhu (688698)

“…Firstly, from the perspective of data-driven, it crawls the historical data of driving speed through Baidu map big data platform, and uses a BP neural network optimized by genetic algorithm to predict the driving speed of vehicles in different periods. …”

The process of using the M.E.D.V.I.S. algorithm. by Hector Torres (11708207)

“…All are placed into three dimensionality reduction methods, which are then processed in a k-means clustering algorithm with k = 2 to represent good and bad figures. …”