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

Workflow of the developed simulation algorithm. by Arnab Mutsuddy (22146227)

Figures of NEXT STEPS IN THE DEVELOPMENT OF PCA-NN MODEL FOR THE IONOSPHERE: DIFFERENT PARAMETERS, REGIONS, NN ALGORITHMS AND IMPUT PARAMETERS by Sara Garcia (22419613)

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

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

Subjects:

Federated averaging algorithm. by Yan Qin (118276)

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. …”

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. …”

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. …”

Schematic diagram of the experimental algorithm. by Ronghua Meng (20978441)

“…On the basis of stable egg carrying, a carrying motion mathematical model is established, and the genetic algorithm (GA) is chosen to optimize the structural parameters. …”

The actual training effect of four algorithms on original photo data (All images are original images taken by the author). by Xiaojun Wang (50332)

Risk element category diagram. by Yao Hu (3479972)

“…It can be summarized that the algorithmic model has good accuracy and robustness. …”

Structure of the Kuhn-Munkres Algorithm. by Qingnan Ji (22662198)

Subjects:

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

Example measurement and analysis units for landscape elements. by Jaewon Han (8660295)

Subjects:

Model-Based Clustering of Categorical Data Based on the Hamming Distance by Raffaele Argiento (647076)

“…The proposed method exploits the Hamming distance to define a family of probability mass functions to model the data. The elements of this family are then considered as kernels of a finite mixture model with an unknown number of components. …”

The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. by Abdullah Asım Yılmaz (20715311)

Data for Figs 3–9. by Xiaogang Li (299205)

Data Sheet 1_Enhancing fever of unknown origin diagnosis: machine learning approaches to predict metagenomic next-generation sequencing positivity.docx by Zhi Gao (257044)

“…This study aimed to develop an interpretable machine learning algorithm for the effective prediction of mNGS results in patients with FUO.…”

Source_data_single_element_motor by Hiroyuki Ichijo (19799292)

“…<p dir="ltr">Source data of experiments by the single-element motor algorithm.…”