the main structural differences among different algorithms. by Xingan Fu (21594713)

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

Algorithm parameter settings. by Yue Guo (695495)

Dispersion signal in principal and residual space in PCA and KPCA algorithm. by Emmanuel Ndongue Esseme (22615091)

Algorithm performance test results. by Yue Guo (695495)

The main components and data flow of the proposed algorithm. by Raed Alharthi (18340157)

“…<p>The main components and data flow of the proposed algorithm.…”

Dispersion signal in principal and residual space in PCA-FFT and KPCA-FFT algorithm. by Emmanuel Ndongue Esseme (22615091)

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. …”

Convergence curve of sparrow search algorithm. by Yue Guo (695495)

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. …”

Variance component estimation for gene expression data. by Evan Gorstein (20553314)

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

Subjects:

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

Model’s measure methods. by Songsong Wang (8088293)

Subjects: “…necessitating extensive data…”

Main steps and advantages of ASEF algorithm. by Na Lin (69470)

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. …”

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. …”

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

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)