Classification of Cognitive Workload Levels under Vague Visual Stimulation by Mahmoud, Rwan Adil Osman

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Novel Classification System for Classifying Cognitive Workload Levels under Vague Visual Stimulation by Mahmoud, Rwan Adil Osman

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Enhancing Bearing Fault Diagnosis Using Transfer Learning and Random Forest Classification: A Comparative Study on Variable Working Conditions by Durjay Saha (21633095)

“…In this study, raw vibrational accelerometer data of variable working conditions is preprocessed using the window length and stride method to generate a data format suitable for evaluating the proposed model. …”

SPARQ: A Cyber-Resilient Voltage Regulation Using Soft Q-Learning Approach for Autonomous Grid Operations by Mohamed Massaoudi (16888710)

“…Additionally, the SQL framework exhibits faster convergence and higher rewards compared to baseline reinforcement learning methods. Moreover, the framework’s effectiveness under cyber attack highlights its potential for resilient voltage stability control in modern CPPSs.…”

Predicting Calcein Release from Ultrasound-Targeted Liposomes: A Comparative Analysis of Random Forest and Support Vector Machine by Shomope, Ibrahim

“…Existing studies predominantly focus on drug release under static conditions or with limited external stimuli rather than the dynamic, nonlinear responses observed under ultrasound exposure.Objective: This study presents a comparative analysis of RF and SVM for predicting calcein release from ultrasound-triggered, targeted liposomes under varied low-frequency ultrasound (LFUS) power densities (6.2, 9, and 10 mW/cm²). …”
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Decision-level Gait Fusion for Human Identification at a Distance by Al-Tayyan, Amer

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Pool Free Rapid Segmentation Network (PFRS-Net) to detect human blastocyst compartments for embryonic assessment by Abida Hussain (22049752)

“…This method is trained and tested using a publicly accessible dataset of human blastocyst images. …”

Ensemble Learning for Precise State-of-Charge Estimation in Electric Vehicles Lithium-Ion Batteries Considering Uncertainty by Aya Haraz (22225036)

“…To ensure the model’s robustness and generalizability, preprocessing techniques, including normalization and scaling, were employed alongside rigorous cross-validation methods. …”