Common weaving approach in mainstream languages for software security hardening حسب Alhadidi, Dima

"…GIMPLE weaving accompanied by a common aspect-oriented language (1) allows security experts providing security solutions using this common language, (2) lets developers focus on the main functionality of programs by relieving them from the burden of security issues, (3) unifies the matching and the weaving processes for mainstream languages, and (4) facilitates introducing new security features in AOP languages. …"
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Parameter Identification of Flexible Drive Systems using Particle Swarm Optimization حسب Hafez, Ishaq

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Stacking-based ensemble learning for remaining useful life estimation حسب Begum Ay Ture (17773170)

"…In this study, predictive models that estimate the remaining useful life of turbofan engines have been developed using deep learning algorithms on NASA’s turbofan engine degradation simulation dataset. …"

Predicting Android Malware Using Evolution Networks حسب Chahine, Joy

"…In Cybersecurity, a main and persistent issue is the threat of malware. …"
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Integrated Energy Optimization and Stability Control Using Deep Reinforcement Learning for an All-Wheel-Drive Electric Vehicle حسب Reza Jafari (3494018)

"…To evaluate the generalizability of the algorithms, the agents are tested across various velocities, tire–road friction coefficients, and additional scenarios implemented in IPG CarMaker, a high-fidelity vehicle dynamics simulator. …"

Understanding key drivers affecting students’ use of artificial intelligence-based voice assistants حسب Hamad Al Shamsi, Jawaher

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Real-Time Social Robot’s Responses to Undesired Interactions Between Children and their Surroundings حسب Ahmad Yaser Alhaddad (7017434)

"…Additionally, we evaluate the performance of the best developed model with children. Machine learning algorithms experiments showed that XGBoost achieved the best performance across all metrics (e.g., accuracy of 90%) and provided fast predictions (i.e., 0.004 s) for the test samples. …"

IoT-Based Sustainable Parking Lot حسب Binmahfooz, Abdullah

"…The access control system employs a combination of vehicle detection and plate recognition algorithms to identify and authenticate vehicles entering and exiting the parking lot. …"
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Optimal Planning of Distributed Generators and Shunt Capacitors in Isolated Microgrids With Nonlinear Loads حسب Yazdavar, Ameen H.

"…To consider this issue, a harmonic power flow tool tailored for planning applications is developed that takes into account the specific features of isolated microgrids. …"
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Integration of nonparametric fuzzy classification with an evolutionary-developmental framework to perform music sentiment-based analysis and composition حسب Abboud, Ralph

"…Over the past years, several approaches have been developed to create algorithmic music composers. Most existing solutions focus on composing music that appears theoretically correct or interesting to the listener. …"
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Parallelization of Stochastic Evolution حسب Khan, Khawar

"…In this work, the development of parallel algorithms for Stochastic Evolution, applied on multi-objective VLSI cell-placement problem is presented. …"
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Behavior-Based Machine Learning Approaches to Identify State-Sponsored Trolls on Twitter حسب Saleh Alhazbi (16869960)

"…Based on these features, we developed four classification models to identify political troll accounts, these models are based on decision tree, random forest, Adaboost, and gradient boost algorithms. …"

Cardiovascular health research priorities in the United Arab Emirates حسب Ghader, Nariman

"…The top research priority areas were: development of evidence-based, customized algorithms for CVD prevention and in-hospital emergency interventions; the availability, accessibility, and affordability of CVD treatment and rehabilitation; identification of relationships between CVDs, lifestyle factors, and mental health; efficacy and constraints in the management of cardiac emergencies; and epidemiological studies that trace CVD in the UAE. …"
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Parallelization of Iterative Heuristic for Performance-Driven Low-Power VLSI Standard Cell Placement. حسب Syed, Sanaullah/SS

"…The motivation for Parallel CAD include faster runtimes, handling of larger problem sizes, and exploration of larger search space. In this work, the development of parallel algorithms for Tabu Search, applied on multi-objective VLSI cell-placement problem is presented. …"
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Sentiment Analysis of Dialectal Speech: Unveiling Emotions through Deep Learning Models حسب EZZELDIN, KHALED MOHAMED KHALED

"…A key contribution of this work is the development and evaluation of hybrid Deep Learning Models that combine CNN-BI-LSTM, CNN-GRU, GRU-CNN, GRU-BI-LSTM, and GRU-ANN architectures. …"
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Gene-specific machine learning model to predict the pathogenicity of BRCA2 variants حسب Mohannad N. Khandakji (13885434)

"…<h3>Background</h3><p dir="ltr">Existing BRCA2-specific variant pathogenicity prediction algorithms focus on the prediction of the functional impact of a subtype of variants alone. …"

Artificial intelligence-enhanced electrocardiography for accurate diagnosis and management of cardiovascular diseases حسب Muhammad Ali Muzammil (17910611)

"…Diverse dataset curation, bias mitigation strategies, continuous validation across populations, and collaborative efforts for regulatory approval are essential for the successful deployment of AI ECG in clinical settings and must be undertaken to address these issues. To guarantee a safe and successful deployment in clinical practice, the use of AI in cardiology must be done with a thorough understanding of the algorithms and their limits. …"

Legal and Ethical Considerations of Artificial Intelligence for Residents in Post-Acute and Long-Term Care حسب Barry Solaiman (19160614)

"…<p>This article proposes a framework for examining the ethical and legal concerns for using artificial intelligence (AI) in post-acute and long-term care (PA-LTC). …"

Large Language Models in Medical Education: Opportunities, Challenges, and Future Directions حسب Alaa Abd-alrazaq (17058018)

"…<p dir="ltr">The integration of large language models (LLMs), such as those in the Generative Pre-trained Transformers (GPT) series, into medical education has the potential to transform learning experiences for students and elevate their knowledge, skills, and competence. Drawing on a wealth of professional and academic experience, we propose that LLMs hold promise for revolutionizing medical curriculum development, teaching methodologies, personalized study plans and learning materials, student assessments, and more. …"

Scatter search technique for exam timetabling حسب Mansour, Nashat

"…This approach is based on maintaining and evolving a population of solutions. We evaluate our suggested technique on real-world university data and compare our results with the registrar’s manual timetable in addition to the timetables of other heuristic optimization algorithms. …"
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