Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximation by Rawan AlSaad (14159019)

A machine learning model for early detection of diabetic foot using thermogram images by Amith Khandakar (14151981)

“…<p dir="ltr">Diabetes foot ulceration (DFU) and amputation are a cause of significant morbidity. The prevention of DFU may be achieved by the identification of patients at risk of DFU and the institution of preventative measures through education and offloading. …”

Deep Learning for Arabic Error Detection and Correction by ALKHATIB, MANAR

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Exploring Students’ Attitudes Toward Artificial Intelligence (AI): Psychometric Validation of AI-Attitude Scale by Almaas Sultana (22047875)

Electric Vehicles Charging Station Load Forecasting Integration With Renewable Energy Using Novel Deep EfficientBiLSTMNet by Vineet Dhanawat (22361395)

Re-examining post-acceptance model of information systems continuance: A revised theoretical model using MASEM approach by Anubhav Mishra (17380600)

Regulating algorithmic care in the European Union: evolving doctor–patient models through the Artificial Intelligence Act (AI-Act) and the liability directives by Barry Solaiman (19160614)

Centralized, Distributed, and Module-Integrated Electric Power System Schemes in CubeSats: Performance Assessment by Bayan Hussein (16904856)

A Novel Genetic Algorithm Optimized Adversarial Attack in Federated Learning for Android-Based Mobile Systems by Faria Nawshin (21841598)

Setting up a National Research Data Curation Service for Qatar: Challenges and Opportunities by Arif Shaon (13761784)

Reinforcement Learning Based EV Charging Management Systems–A Review by Heba M. Abdullah (16896384)

DiaNet v2 deep learning based method for diabetes diagnosis using retinal images by Hamada R. H. Al-Absi (16726299)

5G Networks Security Mitigation Model: An ANN-ISM Hybrid Approach by Rafiq Ahmad Khan (5066180)

“…<p dir="ltr">The advent of Fifth-Generation (5G) networks has introduced significant security challenges due to increased complexity and diverse use cases. …”

Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO₂ enrichment by Ikhlas Ghiat (16932564)

“…The results demonstrated the inclusion of hyperspectral-based vegetation indices significantly increased the performance of the three machine learning models in predicting transpiration. …”

Ensemble-Guard IoT: A Lightweight Ensemble Model for Real-Time Attack Detection on Imbalanced Dataset by Muhammad Usama Tanveer (22225360)

“…Ensemble learning by combining multiple machine learning models offers a significant advantage in reducing computational costs compared to deep learning models, making it a practical solution for real-time applications. …”

Anomaly Detection on Smart Grids With Optimized Convolutional Long Short-Term Memory Model by Ahmad N. Alkuwari (22392226)

Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring by Zina Chkirbene (16869987)

A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI by Oishi Jyoti (21593819)

Power System Stability With High Penetration of Renewable Energy Sources: Challenges, Assessment, and Mitigation Strategies by Jana Sheikh Ali (22392121)

Cyber-Resilient Detection of Power Quality Events with NSCT and PCA-SVM by Sayanti Chatterjee (1311438)

“…The proposed NSCT-PCA- SVM approach represents a significant step forward in ensuring secure and reliable smart grid operations.…”