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)

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

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)

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

Subjects:

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

Subjects:

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

Subjects:

Summary of the metrics of the different trained models foreach algorithm in each split for each dataset. by Jaime B. Matas-Bustos (21772430)

Data supporting figures and tables in Attention-Based Framework for Automated Symbol Recognition and Wiring Design in Electrical Diagrams by IKENNA CLEMENT EKEKE (20995226)

“…<h3><b>Dataset Description for Figshare</b></h3><p dir="ltr">This dataset supports the findings of the research titled:</p><p dir="ltr"><b>"Attention-Based Framework for Automated Symbol Recognition and Wiring Design in Electrical Diagrams"</b></p><p dir="ltr"><b>Authors:</b> Ikenna Ekeke, Carlos Francisco Moreno-García, Eyad Elyan<br><b>Affiliation:</b> Robert Gordon University, Aberdeen, Scotland, UK<br><b>Date:</b> April 2025</p><h4><b>Overview</b></h4><p dir="ltr">The research presents an end-to-end deep learning framework combining <b>YOLOv8 object detection</b> with <b>attention mechanisms</b> to improve symbol recognition in electrical diagrams, followed by a <b>graph-based wiring algorithm</b> that automates wire routing between detected symbols. …”

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