The Detection of Dysarthria Severity Levels Using AI Models: A Review حسب Afnan Al-Ali (16888695)

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Calibration of building model based on indoor temperature for overheating assessment using genetic algorithm: Methodology, evaluation criteria, and case study حسب Mutasim Baba, Fuad

"…To do so, a building simulation model needs to be calibrated based on measured indoor temperatures under the current weather conditions. …"
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Meta-Heuristic Procedures for the Multi-Resource Leveling Problem with Activity Splitting حسب AlSayegh, Hadeel Yacoub

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Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction حسب Syed Mohammad (21075689)

"…The current study utilises state-of-the-art ML and DL models for predicting the hERG-blocking ability of chemical compounds using a dataset of 8337 molecules. …"

Design of acoustic absorbing metasurfaces using a data-driven approach حسب Hamza Baali (14603380)

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Machine Learning-Driven Prediction of Corrosion Inhibitor Efficiency: Emerging Algorithms, Challenges, and Future Outlooks حسب Najam Us Sahar Riyaz (22927843)

"…At the same time, virtual sample augmentation and genetic algorithm feature selection elevate sparse data performance, raising k-nearest neighbor models from R² = 0.05 to 0.99 in a representative thiophene set. …"

Modelling surface currents in the Eastern Levantine Mediterranean using surface drifters and satellite altimetry حسب Issa, Leila

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Bird’s Eye View feature selection for high-dimensional data حسب Samir Brahim Belhaouari (16855434)

"…This approach is inspired by the natural world, where a bird searches for important features in a sparse dataset, similar to how a bird search for sustenance in a sprawling jungle. BEV incorporates elements of Evolutionary Algorithms with a Genetic Algorithm to maintain a population of top-performing agents, Dynamic Markov Chain to steer the movement of agents in the search space, and Reinforcement Learning to reward and penalize agents based on their progress. …"

A parallel ant colony optimization to globally optimize area in high-level synthesis. (c2011) حسب Kozhaya, David Elias

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A control algorithm to increase the efficient operation of wind energy conversion systems under extreme wind conditions حسب Nyam Jargalsaikhan (17380429)

"…Furthermore, the model predictive control (MPC) is proposed to replace the PI controller in the inner current loop of the rotor speed control loop, thereby improving the performance of the stator current track. …"

A Framework for Predictive Modeling in Sustainable Projects حسب Labban, Tarek

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A Comprehensive Review of AI’s Current Impact and Future Prospects in Cybersecurity حسب Abdullah Al Siam (22304047)

"…We examine cutting-edge AI methodologies and principal models across many domains, including machine learning algorithms, deep learning architectures, natural language processing techniques, and anomaly detection algorithms, emphasizing their distinct contributions to enhancing security. …"

A Multiprocessing-Based Sensitivity Analysis of Machine Learning Algorithms for Load Forecasting of Electric Power Distribution System حسب Ameema Zainab (16864263)

Learn while tracking. (c2013) حسب Toukhtarian, Raffi

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Integrated economic and environmental models for a multi stage cold supply chain under carbon tax regulation حسب Hariga, Moncer

"…The structural properties for the optimal solution of the three models are identified and solution algorithms are also proposed. …"
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On Higher-Order Iterative Learning Control Algorithm in Presence of Measurement Noise حسب Saab, Samer S.

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Extended Behavioral Modeling of FET and Lattice-Mismatched HEMT Devices حسب Khawam, Yahya Bader

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Large language models for code completion: A systematic literature review حسب Rasha Ahmad Husein (19744756)

"…Different techniques can achieve code completion, and recent research has focused on Deep Learning methods, particularly Large Language Models (LLMs) utilizing Transformer algorithms. While several research papers have focused on the use of LLMs for code completion, these studies are fragmented, and there is no systematic overview of the use of LLMs for code completion. …"

Performance of artificial intelligence models in estimating blood glucose level among diabetic patients using non-invasive wearable device data حسب Arfan Ahmed (17541309)

"…</p><h3>Research Design & Methods</h3><p dir="ltr">The study aimed to investigate performance of AI models in estimating BGL among diabetic patients using non-invasive wearable devices data An open-source dataset was used which provided BGL readings, diabetic status (Diabetic or non-diabetic), heart rate, Blood oxygen level (SPO2), Diastolic Blood pressure, Systolic Blood Pressure, Body temperature, Sweating, and Shivering for 13 participants by age group taken from WDs. …"

Multimodal EEG and Keystroke Dynamics Based Biometric System Using Machine Learning Algorithms حسب Arafat Rahman (8065562)