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

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

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

“…</p><p dir="ltr">Astrocytes were dissociated from E18 mouse cortical tissue, and image data were processed using a Cellpose 2.0 model to mask nuclei. …”

Summary of the metrics of the different trained algorithms that performed best in the Testing process for each dataset. by Jaime B. Matas-Bustos (21772430)

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

Structure and the optimization technique of the algorithms adopted in the study. by M. A. Habib (16839161)

Subjects:

Filtered Labels after applying the data preparation algorithms. by Tanjim Taharat Aurpa (11250554)

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

Subjects:

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

Subjects:

The process of using the M.E.D.V.I.S. algorithm. by Hector Torres (11708207)

“…All are placed into three dimensionality reduction methods, which are then processed in a k-means clustering algorithm with k = 2 to represent good and bad figures. …”

Feature Importance Analysis of the Algorithms expressed by SHAP indices. by M. A. Habib (16839161)

Subjects:

Statistical analysis of the prediction results from the ML algorithms. by M. A. Habib (16839161)

Subjects:

Flowchart of the general algorithm for one trial. by Junying Wang (509009)

Dataset state after applying our data preparation algorithm. by Tanjim Taharat Aurpa (11250554)

Summary of the metrics of the different trained algorithms based on mean and 95% confidence intervals (calculated using t-Student) for the Testing process in each dataset. by Jaime B. Matas-Bustos (21772430)

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:

Convergence curves for all algorithms. by Genliang Li (5816264)

Subjects:

Parameter Settings for competitive algorithms. by Genliang Li (5816264)

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. …”

Details of multiple GWO algorithm variants. by Genliang Li (5816264)

Subjects: