Video 1_Learning-based control for tendon-driven continuum robotic arms.mp4 by Nima Maghooli (21710783)

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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)

Performance of various biclustering algorithms on ML-100K dataset with Q- learning. by Muhammad Waqar (500788)

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Performance of various biclustering algorithms on ML-latest-small dataset with Q-learning. by Muhammad Waqar (500788)

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COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets by Haojie Wang (3072141)

“…We have developed a computational target-fishing method, termed COMET, which integrates ligand-based similarity scores with target-based binding scores into a random forest algorithm for target ranking. COMET leverages carefully curated data sets encompassing 2685 human targets of therapeutic relevance and 990,944 ligand-target interaction pairs. …”

COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets by Haojie Wang (3072141)

“…We have developed a computational target-fishing method, termed COMET, which integrates ligand-based similarity scores with target-based binding scores into a random forest algorithm for target ranking. COMET leverages carefully curated data sets encompassing 2685 human targets of therapeutic relevance and 990,944 ligand-target interaction pairs. …”

COMET: A Machine-Learning Framework Integrating Ligand-Based and Target-Based Algorithms for Elucidating Drug Targets by Haojie Wang (3072141)

“…We have developed a computational target-fishing method, termed COMET, which integrates ligand-based similarity scores with target-based binding scores into a random forest algorithm for target ranking. COMET leverages carefully curated data sets encompassing 2685 human targets of therapeutic relevance and 990,944 ligand-target interaction pairs. …”

Comparison of information on predicting survival outcomes or metastasis of cancer patients using machine learning algorithms in the past. by Jingru Dong (14076094)

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Comparison of tracing algorithms on FF image (region of interest). Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data cor... by Youssef Arafat (21009293)

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Comparison of tracing algorithms on DME image (full view) [42]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corres... by Youssef Arafat (21009293)

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Comparison of tracing algorithms on SHG image (full view) [40]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corres... by Youssef Arafat (21009293)

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Comparison of tracing algorithms on FF image (full view). Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Data corresponds... by Youssef Arafat (21009293)

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Comparison of tracing algorithms on SHG image (region of interest) [40]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Da... by Youssef Arafat (21009293)

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Comparison of tracing algorithms on DME image (region of interest) [42]. Image was applied to algorithms with three different filters: Original/no filtering, Gaussian and DnCnn. Da... by Youssef Arafat (21009293)

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

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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. …”

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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Visualization of mean absolute SHAP values for conditional algorithm for each class. by Sadia Nazim (21440115)