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

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

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. …”

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

Subjects: “…crayfish optimization algorithm…”

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

“…The elements of this family are then considered as kernels of a finite mixture model with an unknown number of components. …”

Element model generation method with geometric distribution errors by Yiqi Liu (21357815)

“…The product surface geometric distribution error is directly attached to the element nodes of the product ideal element model using the error surface reconstruction method and the replacement algorithm of the element node vector height based on the product’s point cloud data. …”

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

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

Subjects:

Numbers of iterations (#Ite) and eigenvalue calculations (#Eig) in the DC algorithm on the random and chain graph datasets. by Tomokaze Shiratori (9635271)

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)

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

Subjects:

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. …”

Multi-material topology optimization using scaled boundary finite element method by Mohammed Saif Zamiruddin Siddiqui (22384884)

“…SBFEM is implemented and its performance is tested across different density interpolation-based MMTO methods: the Alternating Active-Phase (AAP) algorithm, SIMP with mapping based interpolation, and polygonal mesh based MMTO, PolyMat which uses Discrete Material Optimization (DMO) combined with Zhang–Paulino–Ramos (ZPR) update scheme. …”

Pareto optimal front result of MOCOA. by Hang Zhao (143592)

Subjects: “…crayfish optimization algorithm…”

Confusion matrix. by Hang Zhao (143592)

Subjects: “…crayfish optimization algorithm…”

Action potential of sample points in model 1. by Hang Zhao (143592)

Subjects: “…crayfish optimization algorithm…”

Performance validation on the MIT-BIH database. by Hang Zhao (143592)

Subjects: “…crayfish optimization algorithm…”

Exponentially attenuated sinusoidal function. by Hang Zhao (143592)

Subjects: “…crayfish optimization algorithm…”

Performance comparison with other papers. by Hang Zhao (143592)

Subjects: “…crayfish optimization algorithm…”