Single-channel speech denoising by masking the colored spectrograms حسب Sania Gul (18272227)

"…With a slightly reduced PESQ score (by 0.58 points), the proposed model offers an improvement of 2 % in STOI, and 4375 and 1135 times reduction respectively in the required number of training epochs and network parameters when compared to a GAN-based model augmented by WavLM; a large-scale self-supervised learning model. …"

A collaborative filtering recommendation framework utilizing social networks حسب Aamir Fareed (17019087)

"…The current study proposes a collaborative filtering recommendation framework that employs social networks to generate more precise and pertinent recommendations. The framework is based on a modified version of the user-based collaborative filtering algorithm, which computes user similarity based on their ratings and social connections. …"

Automated skills assessment in open surgery: A scoping review حسب Hawa Hamza (17707224)

"…About 35 % utilized deep learning algorithms, specifically convolutional neural networks (CNN) (<i>n </i>= 14). …"

THE FUTURE OF MEDICINE, healthcare innovation through precision medicine: policy case study of Qatar حسب M. Walid Qoronfleh (14153088)

Predicting Calcein Release from Ultrasound-Targeted Liposomes: A Comparative Analysis of Random Forest and Support Vector Machine حسب Shomope, Ibrahim

"…The type of algorithm employed to predict drug release from liposomes plays an important role in affecting the accuracy. …"
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Decision-level Gait Fusion for Human Identification at a Distance حسب Al-Tayyan, Amer

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Creating and detecting fake reviews of online products حسب Joni Salminen (7434770)

Modeling and Identification of Nonlinear DC Motor Drive Systems Using Recurrent Wavelet Networks حسب Zahidi, Sarah Hussain

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Adaptive PPO With Multi-Armed Bandit Clipping and Meta-Control for Robust Power Grid Operation Under Adversarial Attacks حسب Mohamed Massaoudi (16888710)

"…Specifically, our approach introduces three key innovations: 1) multi-armed bandit (MAB) mechanism for dynamic epsilon-clipping that adaptively adjusts exploration-exploitation trade-offs; 2) meta-controller framework that automatically tunes hyperparameters including the activation learning rate (ALR) penalties and exploration factors; and 3) integrated gradient-based optimization approach that combines policy gradients with environmental feedback. …"

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. …"

Deep Neural Networks for Electromagnetic Inverse Scattering Problems in Microwave Imaging حسب Maricar, Mohammed Farook

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Decision-level fusion for single-view gait recognition with various carrying and clothing conditions حسب Al-Tayyan, Amer

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Enhancing building sustainability: A Digital Twin approach to energy efficiency and occupancy monitoring حسب Aya Nabil Sayed (17317006)

"…Our data-driven occupancy detection approach utilized Machine Learning (ML) algorithms to intelligently determine room occupancy, allowing for precise energy management based on real-time usage patterns. …"

The Assessment and Allocation of Public Private Partnership Risks in the UAE حسب Shaban, Mazhd

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Future Prediction of COVID-19 Vaccine Trends Using a Voting Classifier حسب Syed Ali Jafar Zaidi (19563178)

"…<div><p>Machine learning (ML)-based prediction is considered an important technique for improving decision making during the planning process. …"

Evolutionary support vector regression for monitoring Poisson profiles حسب Ali Yeganeh (16624998)

"…The proposed monitoring scheme is revealed to be superior to its counterparts, including the likelihood ratio test (LRT), multivariate exponentially weighted moving average (MEWMA), LRT-EWMA and other machine learning-based schemes. The simulation results show superiority of the proposed method in profiles with fixed explanatory variables and non-parametric models in nearly all situations while it is not able to be the best in all the simulations when there are with random explanatory variables. …"

Comparative Study on Arabic Text Classification: Challenges and Opportunities حسب Abualigah, Laith

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Random Forest Bagging and X‐Means Clustered Antipattern Detection from SQL Query Log for Accessing Secure Mobile Data حسب Rajesh Kumar Dhanaraj (19646269)

LNCRI: Long Non-Coding RNA Identifier in Multiple Species حسب Saleh Musleh (15279190)

"…To overcome these challenges we developed LNCRI (Long Non-Coding RNA Identifier), a novel machine learning (ML)-based tool for the identification of lncRNA transcripts. …"

Automated systems for diagnosis of dysgraphia in children: a survey and novel framework حسب Jayakanth Kunhoth (14158908)

"…This work discusses the data collection method, important handwriting features, and machine learning algorithms employed in the literature for the diagnosis of dysgraphia. …"