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. …”

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. …”

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

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

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

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

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

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

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

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

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

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

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

“…<div><p>A fault diagnosis method for oil immersed transformers based on principal component analysis and SSA LightGBM is proposed to address the problem of low diagnostic accuracy caused by the complexity of current oil immersed transformer faults. Firstly, data on dissolved gases in oil is collected, and a 17 dimensional fault feature matrix is constructed using the uncoded ratio method. …”

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

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

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Running time comparison. by Zilong Deng (4594117)

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Dataset features. by Zilong Deng (4594117)

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Clustering results under different numbers of clients. by Zilong Deng (4594117)

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The framework of the proposed FKmeansCB. by Zilong Deng (4594117)

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