Experimental Investigation of FRP-Reinforced Concrete Columns Under Concentric and Eccentric Loading by Elmesalami, Nouran Zinelabdin Ahmed

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Shear performance of FRP Reinforced Deep Beams Made of Ultra High Performance Concrete (UHPC) by Salman, Omar

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Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects by Majdi Mansouri (16869885)

“…Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. …”

Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation by Mostafa M., Shibl

“…Deep RL is utilized to model the EV chargers and the EV users. …”
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Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation by Mostafa M. Shibl (17821382)

“…Deep RL is utilized to model the EV chargers and the EV users. …”

The effect of Dopamine Agonists on patients with advanced Parkinson's disease subjected to subthalamic deep brain stimulation. (c2000) by Jabre, Mazen Gerges

“…Dyskinesias, motor fluctuations, and levodopa-equivalent daily dose requirements decreased by 82.35%,82.14%, and 77%, respectively (p<O.OI). …”
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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. …”

Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction by Yassine Himeur (14158821)

“…The latter can not only reduce feature dimensionality, but it can also effectively decrease the intra-class distances and increase the extra-class distances of appliance features; and (iii) a powerful decision bagging tree classifier is implemented to accurately classify electrical devices using the reduced features. …”

Combining Saliency with Prediction for Endoscopic Diagnosis by Rezk, Mahmoud

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

“…ML models used in this paper are (1) Decision Tree (DT), (2) Random Forest (RF), (3) Support Vector Machine (SVM), (4) Naïve Bayes (NB), (5) K-Nearest Neighbors (KNN), (6) Deep Neural Networks (DNN), and (7) Long Short-Term Memory (LSTM). …”

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. …”

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

“…Compared to the standard YOLOv11 model, the proposed YOLO-DefXpert attained an improvement of 9.3% and 13.2% in mAP50 and mAP95, an 11.25% increase in frames per second, and a 69.85MB decrease in model size. …”

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.…”

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). …”

Is board compensation excessive? by Dah, Mustafa A.

“…For companies that overpay, the average excess compensation is greater than $60,000 per director, while directors that are underpaid receive about $33,000 less than predicted. …”
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An efficient failure-resilient mutual exclusion algorithm for distributed systems leveraging a novel zero-message overlay structure by Mouna Rabhi (17086969)

“…An extensive simulation study demonstrates the viability and efficiency of the proposed algorithm under various node failure models, and relevant metrics (e.g., node queue dimension, number of exchanged messages, and number of disconnected nodes) indicate a graceful degradation in performance with decreasing number of functioning nodes. For instance, for 4,096 nodes organized in a logical tree of arity 4 and with 4 physical nodes for logical node, a negligible number of nodes is disconnected from the tree after 250 epochs when the per-node per-epoch failure probability is p f ≤ 0 . 0008 . …”

Rebound effects undermine carbon footprint reduction potential of autonomous electric vehicles by Nuri C. Onat (14779093)

“…Recycling efforts can offset this increase, cutting emissions by 6.65 tons of Carbon dioxide equivalent per vehicle. …”

Cost-effectiveness of novel treatment of hepatitis C virus in Lebanese patients by Nasser, Soumana C.

“…Sensitivity analysis showed that a 25% decrease in the cost of dual drug option resulted in a decrease of incremental cost to 16,982 euro per QALY gained at first year of treatment with DAAs upon early HCV diagnosis. …”
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Growth hormone treatment modulates active ghrelin levels in rats by Haddad, Haytham

“…Consequently, under such treatment, determination of active ghrelin concentration per tissue mass rather than per tissue protein is favored. …”
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