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

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

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

“…We find evidence that the generalised GLS-KGR algorithm is well-suited to such time-series applications, outperforming several standard techniques on this dataset.…”

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

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)

A* Path-Finding Algorithm to Determine Cell Connections by Max Weng (22327159)

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

Subjects: “…necessitating extensive data…”

Data underlying the findings. by Carol Kotliar (22351525)

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

BIC-SAC findings. by Nayeem Ahmad Khan (11727377)

Data Sheet 1_A method for finding epistatic effects of maternal and fetal variants.docx by Michael Nodzenski (3714730)

“…Though the epistasis-mining algorithms MDR-PDT, TrioFS, and EPISFA-LD were originally designed to find epistatic offspring variants, we generalize them to include maternal SNPs and search more broadly. …”

Data Sheet 1_i-DENV: development of QSAR based regression models for predicting inhibitors targeting non-structural (NS) proteins of dengue virus.docx by Sakshi Gautam (10305897)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

Calculation algorithm implementing the proposed model. by Landry Djopkop Kouanang (17131748)

BIC Non-linearity findings. by Nayeem Ahmad Khan (11727377)

SAC’s findings for suggested S-Box. by Nayeem Ahmad Khan (11727377)

Algorithmic experimental parameter design. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”

Relevant data underlying the findings described in manuscript. by Lin Qi (128224)

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. …”

Spatial spectrum estimation for three algorithms. by Chuanxi Xing (20141665)

“…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…”