Studying cooperative multi-agent reinforcement learning in networks by Oudah, Mayada Mohamed

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A decentralized load balancing strategy for parallel search-three optimization. (c2010) by Mouawad, Amer E.

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Framework for rapid design and optimisation of immersive battery cooling system by Ali Almshahy (23544823)

“…Two key parameters are optimised, namely: battery gap spacing (3–10 mm) and inlet/outlet width (5–15 mm), via Optimal Latin Hypercube Sampling, Support Vector Regression, and GDE3 algorithm. Palm biodiesel is used as a dielectric coolant in the proposed system to preserve LIB temperature within 20–40°C, preventing thermal runaway and ensuring a lightweight BTMS design. …”

Learning-Based Spectrum Sensing and Access for Cognitive Radio Systems by Shehabeldin, Menatalla Diaaeldin

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Systematic reviews in sentiment analysis: a tertiary study by Alexander Ligthart (14150871)

“…In addition to the tertiary study, we also identified recent 112 deep learning-based sentiment analysis papers and categorized them based on the applied deep learning algorithms. …”

The effects of data balancing approaches: A case study by Paul Mooijman (4453189)

“…<p dir="ltr">Imbalanced datasets affect the performance of machine learning algorithms adversely. To cope with this problem, several resampling methods have been developed recently. …”

Analysis of Multi-User-Based UAV System With Outdated CSI by Parvez Shaik (21633041)

“…<p dir="ltr">In this paper, we investigate the performance of multiple-input and multiple-output (MIMO) unmanned air vehicle (UAV) based multi-user communication systems over generalized Nakagami- m fading channels subject to channel feedback delays. …”

Simultaneous identification of robust synergistic subnetwork markers for effective cancer prognosis by Navadon Khunlertgit (3480926)

“…<p>Accurate prediction of cancer prognosis based on gene expression data is generally difficult, and identifying robust prognostic markers for cancer remains a challenging problem. Recent studies have shown that modular markers, such as pathway markers and subnetwork markers, can provide better snapshots of the underlying biological mechanisms by incorporating additional biological information, thereby leading to more accurate cancer classification. …”

A dynamically turbo-charged heuristic for graph coloring. (c2018) by Chahine, Bachir

“…We launch a study on the dynamic form of the graph coloring problem proving it to be fixed-parameter tractable with respect to the edit-parameter. …”
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Mobile robots obstacles avoidance using dynamic window approach by Abubakr, Omer Ali

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A Novel Partitioned Random Forest Method-Based Facial Emotion Recognition by Hanif Heidari (22467148)

A systematic review of text classification research based on deep learning models in Arabic language by Wahdan, Ahlam

“…Several machine learning techniques can be used for text classification, but we have focused only on the recent trend of neural network algorithms. In this paper, the concept of classifying texts and classification processes are reviewed. …”
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A critical review and performance comparisons of swarm-based optimization algorithms in maximum power point tracking of photovoltaic systems under partial shading conditions by Muhammad Shahid Wasim (16883984)

“…A comprehensive review of the recent research on these algorithms is carried out particularly focusing on the PSCs. …”

An Artificial Intelligence Approach for Predictive Maintenance in Electronic Toll Collection System by Alkhatib, Osama

“…Predictive maintenance of Electronic Toll Collection System is a major subject in traffic engineering due to the complexity of the system and the difficulty of predicting the components failures. …”
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An Adaptive Joint Sparsity Recovery for Compressive Sensing Based EEG System by Hamza Djelouat (14603379)

“…CS is an emerging theory that enables a compressed acquisition using well-designed sensing matrices. Moreover, system complexity can be optimized by using hardware friendly structured sensing matrices. …”

Mobile Energy Storage Systems for Benefit Maximization in Resilient Smart Grids by Alshaal, Dima

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Parameter Identification of Flexible Drive Systems using Particle Swarm Optimization by Hafez, Ishaq

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An Efficient Prediction System for Diabetes Disease Based on Deep Neural Network by Tawfik Beghriche (19563184)

“…Such algorithms are state‐of‐the‐art in computer vision, language processing, and image analysis, and when applied in healthcare for prediction and diagnosis purposes, these algorithms can produce highly accurate results. …”

Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval by Mohammed Tahar Habib Kaib (21633176)

A Full-System Approach of the Elastohydrodynamic Line/Point Contact Problem by Habchi, Wassim

“…Suitable stabilization techniques are used to extend the solution to the case of highly loaded contacts. The complexity is the same as for classical algorithms, but an improved convergence rate, a reduced size of the problem and a sparse Jacobian matrix are obtained. …”
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