Algorithm comparison. 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. …”

G R code algorithm. by R. Sakthivel (2589547)

“…The algorithm was developed and coded in Verilog and simulated using Modelsim. …”

Confusion Matrix for the Hybrid algorithms. by Faten Al-hussein (20707521)

“…Medical records from 3,000 King Abdulaziz University Hospital patients containing demographic, lifestyle, and lipid profile data were used to develop the models. For the first time, we utilized recommended machine learning algorithms to develop hybrid prediction models to reduce the number of significant KPIs while enhancing HbA1c prediction accuracy. …”

Comparison of Point Cloud rigid registration algorithms. by Morena Raiola (22439390)

Assignment of Hungarian Algorithm. by Yibin Zhang (1426579)

“…In this paper, a new tracking mechanism is proposed for real-time tracking, which is based on the 2D LiDAR data structure with the Simple Online and Real-Time Tracking (SORT) algorithm. …”

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

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

“…Secondly, considering the complexity and diversity of wind speed data characteristics, data decomposition technique, autoregressive moving average (ARIMA) model and cuckoo search algorithm are used to achieve data preprocessing, serial data modelling and hybrid prediction. …”

Feature selection using the Boruta algorithm. by Guang Tu (22054865)

“…</p><p>Methods</p><p>We conducted a retrospective cohort study using data from the MIMIC-IV database, focusing on adult ICU patients with a primary diagnosis of CHD and diabetes. …”

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

Subjects:

Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

Algorithm parameter setting. by Haiyan Zhang (176919)

Subjects:

Somatostatin (Parent compound) and major metabolites identified using both algorithms. by Paula Cifuentes (22050278)

Subjects:

The metro zone algorithm pseudo-code. by Sarah Alhumoud (22258183)

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

Novel S-Box rendered by the suggested algorithm. by Nayeem Ahmad Khan (11727377)

Subjects:

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. …”

Comparison of algorithm performance aesults. by Chunjuan Li (7890182)

“…The training of the knowledge graph embedding model is similar to that of many models, which requires a large amount of data for learning to achieve the purpose of model development. …”

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

“…Feature selection was performed using the Boruta algorithm, and survival predictions were made using nine machine learning algorithms, including XGBoost, logistic regression (LR), support vector machine (SVM), random forest (RF), k-nearest neighbor (KNN), decision tree (DT), elastic network (Enet), multilayer perceptron (MLP) and lightGBM. …”

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

“…Feature selection was performed using the Boruta algorithm, and survival predictions were made using nine machine learning algorithms, including XGBoost, logistic regression (LR), support vector machine (SVM), random forest (RF), k-nearest neighbor (KNN), decision tree (DT), elastic network (Enet), multilayer perceptron (MLP) and lightGBM. …”

Data Sheet 4_A prognostic model for highly aggressive prostate cancer using interpretable machine learning techniques.zip by Cong Peng (160287)

“…Feature selection was performed using the Boruta algorithm, and survival predictions were made using nine machine learning algorithms, including XGBoost, logistic regression (LR), support vector machine (SVM), random forest (RF), k-nearest neighbor (KNN), decision tree (DT), elastic network (Enet), multilayer perceptron (MLP) and lightGBM. …”