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

Comparison of results based on CycleGAN method. by Xiaojun Wang (50332)

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Fitness versus iterations based on different clustering algorithms. by Yiwei Zhao (2729758)

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Parameters of LWQPSO-SOM algorithm. by Yiwei Zhao (2729758)

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Parameters of LWQPSO-SOM algorithm. by Yiwei Zhao (2729758)

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Performance of machine learning algorithms. by Wenxue Liu (6877754)

Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Clustering results of LWQPSO-SOM algorithm. by Yiwei Zhao (2729758)

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Block diagram of XAI-based LIME method to interpret the proposed framework. by Shuvo Biswas (21728782)

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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 performance matrix of different machine learning algorithms. by Ahmad M. Al-Omari (20460931)

Machine learning prediction algorithm flow chart. by Ahmad M. Al-Omari (20460931)

Clustering graph for 10 species based on K-means clustering algorithm into three clusters based on similarity analysis. by Riaz Hussain Khan (19688168)

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. …”

Algorithm performance comparison. by Haiyan Wang (25821)

Confusion Matrix for Subspace algorithm (3000 Learning Cycles) providing insight into the performance evaluation of Subspace algorithm. by Sadia Nazim (21440115)

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. …”

Bot detection on the TwiBot-20 dataset using various methods presented in the literature performance comparison including accuracy, F1, and Matthew’s Correlation Coefficient. by Agata Skorupka (20469080)

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Maple code for algorithm 3. by Peter Thompson (165468)

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Typical results of using the WSINDy algorithm for example problem L.3 in Table 2 with the library presented in Table 3, , and 50 points in time. by Rainey Lyons (22806496)