FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults by Mohamed Massaoudi (16888710)

“…In practice, TSA based on deep learning is preferable for its high accuracy but often overlooks challenges in maintaining data privacy while coping with network topology changes. …”

Theoretical and experimental insights into the C-steel aqueous corrosion inhibition at elevated temperatures in 1.0 M HCl via multi-carbonyl Gemini cationic surfactants by Nasser M. El-Basiony (18021631)

“…We aimed to evaluate these surfactants as potential corrosion inhibitors for carbon steel (CS) in 1 M HCl at temperatures of 25–55 ± 0.1 °C. …”

Experimental Verification of Low-Pressure Kinetics Model for Direct Synthesis of Dimethyl Carbonate Over CeO₂ Catalyst by G. Ibrahim (7601063)

“…The kinetic model predictions closely aligned with experimental data, demonstrating a 17% mean absolute percentage error and indicating a high level of predictability. …”

Combining Saliency with Prediction for Endoscopic Diagnosis by Rezk, Mahmoud

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Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030) by Khaled F. Alkaraki (22051967)

The Use of Microwave Tomography in Bone Healing Monitoring by Alkhodari, Mohanad Ahmed

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Reinforcement R-learning model for time scheduling of on-demand fog placement by Farhat, Peter

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Machine Learning Models for Scheduling On-Demand Fog Placement and Optimizing Container Deployment by Farhat, Peter

“…Second, we propose a K-Means based clustering model embedded within a multi-objective optimization scheme for fog and container placement. …”
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Short-Term Load Forecasting in Active Distribution Networks Using Forgetting Factor Adaptive Extended Kalman Filter by Mena S. ElMenshawy (17983807)

“…The forgetting factor improves the estimation accuracy and increases the system convergence when compared with the AEKF. …”

Rhus coriaria L. (Sumac) Demonstrates Oncostatic Activity in the Therapeutic and Preventive Model of Breast Carcinoma by Peter Kubatka (11008854)

Influence of direct electric field on PMCG-alginate-based microcapsule by Peter Kasak (1360617)

Exergames versus self-regulated exercises with instruction leaflets to improve adherence during geriatric rehabilitation: a randomized controlled trial by Peter Oesch (3572426)

Novel Wire Gripper for Robotics Picking of Small Green Parts From Powder Bed of Binder Jet Metal Additive Manufacturing by Abdulhamid Mathkur (22467373)

“…A combination of 304 stainless steel wires integrated with a PLA body allows the device to achieve precise handling and control together with versatile operation. …”

State‐dependent control of breathing by the retrotrapezoid nucleus by Burke, Peter G. R.

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Data-Efficient Wheat Disease Detection Using Shifted Window Transformer: Enhancing Accuracy, Sustainability, and Global Food Security by Muhammad Khubaib (22927822)

“…This research presents a deep learning technique based on the Shifted Window (Swin) Transformer, a powerful attention-based model that effectively captures both local and global information for enhanced classification output. …”

A decision support system for automating document retrieval and citation screening by Raymon van Dinter (10521952)

Improving pediatric trauma care: an automated system for wrist trauma detection using GELAN by Promit Basak (22997776)

“…The results of our study highlight the capacity of deep learning to improve the diagnosis of pediatric trauma, decrease the burden on radiologists, and boost patient outcomes.…”

YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm by Prabu Selvam (22330264)

Energy-Efficient Cell Association and Load Balancing for Low Battery Users in Heterogeneous Cellular Networks by Abdul Qadeer Khan (22502168)

“…This paper proposes improved cell association schemes based on the battery levels of UE and Deep Q-learning (DQL) to achieve load balancing and to decrease the power consumption of Low Battery Users (LBUs). …”

Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers by Mostafa Shibl (18810412)

“…<p dir="ltr">Coordinated charging of electric vehicles (EVs) improves the overall efficiency of the power grid as it avoids distribution system overloads, increases power quality, and decreases voltage fluctuations. Moreover, the coordinated charging supports flattening the load profile. …”