Discrimination between genuine and acted expressions using EEG signals and machine learning حسب Alex, Meera

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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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From Collatz Conjecture to chaos and hash function حسب Masrat Rasool (17807813)

"…The primary goal of this research is to develop a robust and efficient chaos-based hash function that addresses the requirements of cryptographic systems. …"

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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FarmTech: Regulating the use of digital technologies in the agricultural sector حسب Imad Antoine Ibrahim (14158998)

"…</p><h2>Other Information</h2><p dir="ltr">Published in: Food and Energy Security<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1002/fes3.483" target="_blank">https://dx.doi.org/10.1002/fes3.483</a></p>…"

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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Artificial intelligence-based methods for fusion of electronic health records and imaging data حسب Farida Mohsen (16994682)

"…We present a comprehensive analysis of the various fusion strategies, the diseases and clinical outcomes for which multimodal fusion was used, the ML algorithms used to perform multimodal fusion for each clinical application, and the available multimodal medical datasets. …"

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. …"

CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children حسب Jayakanth Kunhoth (14158908)

"…Transfer learning is applied using a pre-trained DenseNet201 network to develop four distinct CNN models separately trained on word, pseudoword, difficult word, and sentence images. …"