A* Path-Finding Algorithm to Determine Cell Connections حسب 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. حسب Jaime B. Matas-Bustos (21772430)

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

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

الموضوعات:

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

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

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

الموضوعات:

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

الموضوعات:

The process of using the M.E.D.V.I.S. algorithm. حسب 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. حسب M. A. Habib (16839161)

الموضوعات:

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

الموضوعات:

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

Dataset state after applying our data preparation algorithm. حسب 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. حسب Jaime B. Matas-Bustos (21772430)

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

الموضوعات:

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

الموضوعات:

The run time for each algorithm in seconds. حسب 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. حسب Genliang Li (5816264)

الموضوعات:

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

Data supporting figures and tables in Attention-Based Framework for Automated Symbol Recognition and Wiring Design in Electrical Diagrams حسب 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. …"