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

Optimized Bayesian regularization-back propagation neural network using data-driven intrusion detection system in Internet of Things by Ashok Kumar K (21441108)

“…Then, the data is pre-processed using Variational Bayesian-based Maximum Correntropy Cubature Kalman Filtering (VBMCCKF) of noise removal and data enhancement. …”

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

Subjects: “…crayfish optimization algorithm…”

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

Comparison between the proposed algorithm and other clustering methods on six datasets (parameter values are in the parentheses). by Zilong Deng (4594117)

Subjects: “…distributed clustering algorithm…”

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. …”

Augmentation levels with back-translation. by Rodrigo Gutiérrez Benítez (19746443)

Subjects:

Spatial spectrum estimation for three algorithms. 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. …”

Clustering results on R15 and MNIST by using FKmeansCB. by Zilong Deng (4594117)

Subjects: “…distributed clustering algorithm…”

Simulated solution and the original spectral data of the actual water sample. by Wang hongmei (22598690)

Data size, algorithm, and cross validation metrics in case study 1. by Lillian Li (11337679)

Example of back-translation based on Jacob and Shushma [8]. by Rodrigo Gutiérrez Benítez (19746443)

Subjects:

Flowchart of DQN algorithm. by Jiandong Qiu (20389944)

Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. by Borjan Milinkovic (21349908)

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. …”

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

Risk element category diagram. by Yao Hu (3479972)

“…This article extracted features related to risk assessment, such as weather factors, airport facility inspections, and security check results, and conducted qualitative and quantitative analysis on these features to generate a datable risk warning weight table. This article used these data to establish an LSTM model, which trained LSTM to identify potential risks and provide early warning by learning patterns and trends in historical data. …”

Data and Scripts for 'A Predictive Model for Attention-deficit/hyperactivity Disorder and Its Subtypes in Children: A Back-propagation Neural Network Optimized with Genetic Algorithms Based on Multidimensional Cognitive Ability Tests' by Wang (20310746)

The influence of parameters<i>k1</i> and <i>k2</i> on clustering results. by Zilong Deng (4594117)

Subjects: “…distributed clustering algorithm…”

A basic federated clustering framework. by Zilong Deng (4594117)

Subjects: “…distributed clustering algorithm…”