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

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. …”

Changes in FID values of different algorithms. by Xiaojun Wang (50332)

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Changes in loss values for different algorithms. by Xiaojun Wang (50332)

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Generator network and discriminator network. by Xiaojun Wang (50332)

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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)

Densely linked network. by Xiaojun Wang (50332)

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

Network structure of CycleGAN model. by Xiaojun Wang (50332)

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Structure of the style prediction network. by Bei Huang (485021)

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Structure of the style transfer network. by Bei Huang (485021)

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Comparison of network training duration. by Bei Huang (485021)

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Schematic diagram of the accuracy of different network models changing with the signal-to-noise ratio. by Xiaojun Wang (50332)

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Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

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

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The method for determining the chemical constituents of unknown materials in the algorithm. by Dong Hyeok Choi (12562048)

A classification scheme of bipartite randomization algorithms, based on whether the matrix row and columns sums are preserved exactly (Fixed, <i>F</i>), preserved on average (Propo... by Zachary P. Neal (9946331)

Data and code resources. by Sam Hall-McMaster (10343795)

Backpropagation neural network structure. 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. …”

The run time for each algorithm in seconds. by Edward Antonian (21453161)

“…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. Next, we examine the statistical effect of correlated prediction error and propose a method for Generalized Least Squares (GLS) on graphs. …”