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. …”

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

Algorithm process. by Wei Cui (92129)

“…This paper aims to address these challenges by proposing an automated DDoS attack detection algorithm using the Informer model. We introduce a windowing technique to segment network traffic into manageable samples, which are then input into the Informer for feature extraction and classification. …”

Statistics of GI data processing using different algorithms at various input CTTDs. by Ki Hyun Nam (5813819)

Subjects:

Statistics of HEWL data processing using different algorithms at various input CTTDs. by Ki Hyun Nam (5813819)

Subjects:

The Search process of the genetic algorithm. by Wenguang Li (6528113)

“…The results show: (1) Random oversampling, ADASYN, SMOTE, and SMOTEENN were used for data balance processing, among which SMOTEENN showed better efficiency and effect in dealing with data imbalance. (2) The GA-XGBoost model optimized the hyperparameters of the XGBoost model through a genetic algorithm to improve the model’s predictive accuracy. …”

Notations and definitions used in the algorithm. by Nazym Alimbekova (22766158)

Excerpts from the raw acquired data set with the tracking algorithm. by Hannes Benecke (17409369)

Subjects:

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

Flowchart of the proposed algorithm. by Huanyu Yang (6683780)

“…The sub-block selection algorithm sorts and filters sub-blocks based on the average pixel difference, reconstructing the input data to ensure accurate separation of melanin and hemoglobin. …”

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

Subjects: “…crayfish optimization algorithm…”

A sinogram of the test sample before and after the dejitter algorithm. by Hannes Benecke (17409369)

Subjects:

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

Action potential of sample points in model 1. by Hang Zhao (143592)

Subjects: “…crayfish optimization algorithm…”

Action potential of sample points in model 2. by Hang Zhao (143592)

Subjects: “…crayfish optimization algorithm…”

Action potential of sample points in model 0. by Hang Zhao (143592)

Subjects: “…crayfish optimization algorithm…”

Data after data processing. by Jiaqi Wang (369548)

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. …”

Genetic algorithm flowchart. by Wenguang Li (6528113)

“…The results show: (1) Random oversampling, ADASYN, SMOTE, and SMOTEENN were used for data balance processing, among which SMOTEENN showed better efficiency and effect in dealing with data imbalance. (2) The GA-XGBoost model optimized the hyperparameters of the XGBoost model through a genetic algorithm to improve the model’s predictive accuracy. …”

Genetic algorithm iteration data chart. by Wenguang Li (6528113)

“…The results show: (1) Random oversampling, ADASYN, SMOTE, and SMOTEENN were used for data balance processing, among which SMOTEENN showed better efficiency and effect in dealing with data imbalance. (2) The GA-XGBoost model optimized the hyperparameters of the XGBoost model through a genetic algorithm to improve the model’s predictive accuracy. …”