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

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)

Parameters of ML algorithms. by Md. Maeen Molla (20827041)

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

“…Future work aims to generalize this algorithm for broader biological applications by training additional Cellpose models and adapting the A* framework.…”

Multi-algorithm performance comparison and statistical analysis. by Yanfen Zhang (2570449)

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

M3C2 algorithm diagram. by Xiaowei Li (620087)

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Observations that influence the accuracy of the algorithm. by Rabnawaz Khan (6509084)

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. …”

Model comparison between our model-free algorithm (here MF*) and SARSA. by Carlos A. Velázquez-Vargas (19751567)

Comparative analysis of off-policy PPO algorithm and on-policy algorithm on the a) CSMAR and b) MorningStar datasets. by Cai Yuanqing (22513351)

Proposed hybrid GA- ML algorithms. by Ankur Kumar (1357440)

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Proposed GA-ML algorithms pseudocode. by Ankur Kumar (1357440)

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Overview of CINner’s mathematical model and simulation algorithm. by Khanh N. Dinh (20549532)

Flowchart of CNNBLSTM algorithm. by Guozhu Sui (21672798)

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Flow diagram of cuckoo search algorithm. by Muhammad Sadiq (9449915)

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

Federated averaging algorithm pseudocode. by Hadi Mohammadian KhalafAnsar (22783784)

ML algorithms used in this study. by Toheeb Salahudeen (21368040)

“…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …”

Optimal hyperparameters of the model-agnostic meta-learning algorithm with few-shot tasks. by Soraya Khanmohmmadi (21539953)