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

K-shortest path algorithm, finding count, and OD algorithm. by Jin Ki Eom (21192426)

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

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

Convergence plots of the A-FedSAM algorithm and baseline algorithms under independent and identically distributed (IID) settings with 40% and 80% participation on the SPORT1 and SP... by Kexin Zhen (22453814)

Generated samples from experiment with 3 clients. by Hassan Kamran (21782056)

Generated Samples from experiment with 7 clients. by Hassan Kamran (21782056)

Generated samples from experiment with 5 clients. by Hassan Kamran (21782056)

Automated Analysis of Astrocyte Cell Connectivity After Laser Ablation Using Machine Learning and Path-Finding Algorithms by Connor Lee (22327243)

Subjects:

Convergence plot of A-FedSAM and baseline algorithms under various settings on the SPORT2 dataset. by Kexin Zhen (22453814)

Convergence plot of A-FedSAM and baseline algorithms under various settings on the SPORT1 dataset. by Kexin Zhen (22453814)

Qualitative_Taguette analysis of all HCW and Clients. by Sani Useni (17804366)

Subjects:

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

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

Data Sheet 1_Clinical validation of an artificial intelligence algorithm for classifying tuberculosis and pulmonary findings in chest radiographs.pdf by Thiago Fellipe Ortiz de Camargo (19460818)

“…</p>Purpose<p>To assess the performance of a Convolutional Neural Networks (CNNs)-based AI algorithm in interpreting CXRs and compare it with a team of physicians, including thoracic radiologists, who served as the gold-standard.…”

The multi-round test accuracy of A-FedSAM and baseline algorithms on the SPORT1 and SPORT2 datasets and 40% participation is reported as the mean ± variance. by Kexin Zhen (22453814)

The multi-round test accuracy of A-FedSAM and baseline algorithms on the SPORT1 and SPORT2 datasets and 80% participation is reported as the mean ± variance. by Kexin Zhen (22453814)

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

The multi-round test accuracy of A-FedSAM and baseline algorithms on the CIFAR-10/100, Tiny-ImageNet and AG-News datasets and 10% participation is reported as the mean ± variance. by Kexin Zhen (22453814)