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

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

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. …”

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

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. …”

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. …”

Risk element category diagram. by Yao Hu (3479972)

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

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

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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)

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

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Scatter diagram of different principal elements. by Jizhong Wang (7441697)

“…The experimental results show that the SSA-LightGBM model proposed in this paper has an average fault diagnosis accuracy of 93.6% after SSA algorithm optimization, which is 3.6% higher than before optimization. …”

The algorithm of the applied models. by Elif Tuçe Bal (21367965)

Subjects:

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)

Architecture of AGAN algorithm model. by Xing Chen (140292)

Comparison results of prediction model with single algorithm and combination algorithm. by Jiayuan Wang (3765376)

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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. …”

Performance of models by different algorithms. by Yong Zhang (5893)

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The algorithm of the AWGE-ESPCA model. by Rui Miao (1592461)

Evaluation of model aggregation algorithms. by JiaMing Wang (334865)

“…Additionally, the paper introduces the Gradient Similarity Model Aggregation (GSA) algorithm, which dynamically selects and weights updates from different models to reduce communication overhead. …”