The impact of Transforming an Independent School with Conventional Hierarchal Structure into a Professional Learning Community (PLC) on the Overall School Improvement Process by CHAABAN, NAHED SALEH

“…This way, school improvement initiatives become immaculately contextualised and internally initiated, and thus far more sustainably effective than current standardised school improvement models with very limited potential to achieve stakeholders’ aspirations of building a robust system that can internally, sustainably, and proactively revive school improvement dynamics and mechanisms. …”
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Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning by Far, Reza Davoodi

“…A Master of Science thesis in Electrical Engineering by Reza Davoodi Far entitled, “Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning”, submitted in July 2024. …”
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Measurements of roll, steering, and the far-field wake in track cycling by Shaun Fitzgerald (10222488)

Mathematical Modeling of Pediatric Leukemia: Logical Modeling Approach by Lacoste, Valery

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Second-order conic programming for data envelopment analysis models by Mourad, Nahia

“…As far as known, no MATLAB function solves DEA models. …”
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Hybrid Deep Learning-based Models for Crop Yield Prediction by Alexandros Oikonomidis (12050497)

“…<p dir="ltr">Predicting crop yield is a complex task since it depends on multiple factors. Although many models have been developed so far in the literature, the performance of current models is not satisfactory, and hence, they must be improved. …”

AN INTEGRATED SIMULATION MODEL FOR MANNING MAINTENANCE SHOPS by Duffuaa, S. O.

“…In this paper the elements of an integrated simulation model has been described. The integrated model consists of several modules. …”
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Modelling of pollutant transport in compound open channels by Chatila, Jean Georges

“…The present research investigates the numerical and experimental modelling aspects of flow in compound channels, with special interest in the transport of inert pollutant aspects. …”
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Large language models for code completion: A systematic literature review by 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. …”

Consistent Valid Physically-Realizable Adversarial Attack Against Crowd-Flow Prediction Models by Hassan Ali (3348749)

“…In this paper, we perform a rigorous analysis of the adversarial vulnerabilities of DL-based CFP models under multiple threat settings, making three-fold contributions; 1) we propose CaV-detect by formally identifying two novel properties— C onsistency a nd V alidity—of the CFP inputs that enable the detect ion of standard adversarial inputs with 0% false acceptance rate (FAR); 2) we leverage universal adversarial perturbations and an adaptive adversarial loss to present adaptive adversarial attacks to evade CaV-detect defense; 3) we propose CVP, a C onsistent, V alid and P hysically-realizable adversarial attack, that explicitly inducts the consistency and validity priors in the perturbation generation mechanism. …”

The predictive capacity of GARCH-type models in measuring the volatility of crypto and world currencies by Naimy, Viviane

“…However, the outcomes were far from being uniform for the selected cryptocurrencies: convincing for Dash and Dogcoin, acceptable for Litecoin and Monero and unconvincing for Bitcoin and Ripple, where the (optimal) model was not rejected only at the 99% confidence level.…”
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Non-Linear Modeling and Control of Unmanned Air Vehicle by Ramezani, Roozbeh Falah

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Business Continuity Management Maturity Model for Banks in UAE by Mahal, Ashish

“…Such an analysis tool has to be based on a maturity model (as evident from the Literature review in Chapter 2) Currently, no standard maturity model exists for BCM implementation (something like CMM, CMMI etc.). …”
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Waste Classification for Sustainable Development Using Image Recognition with Deep Learning Neural Network Models by Meena Malik (17542089)

“…This type of model tuning over transfer learning provides a customized model for classification, highly optimized for a particular region. …”

Modeling and Control of a Thermally Driven MEMS Actuator for RF Applications by Estahbanati, Shahabeddin Vamegh

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Development of a demand uncertainty-based model to estimate network reliability by El Khoury, John

“…This study seeks to develop a reliability model that also considers uncertainty. The model estimates reliability for three performance functions (travel time, flow, and consumer surplus), and accounts for uncertainties in both reductions in link-capacity and consumer demand in response to a perturbation/disaster. …”
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A finite element approach to model thin films in circular EHD contacts by Habchi, W.

“…This lubrication regime is known as ElastoHydroDynamic (EHD) Lubrication. It involves a strong coupling between fluid mechanics, solid mechanics and lubricant rheology which makes the problem highly non-linear. …”
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Removal of the finite-distance source effect on the Applebaum array by Yamani, A.

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Effect of Pilot-Points Location on Model Calibration: Application to the Northern Karst Aquifer of Qatar by Husam Baalousha (18140608)

“…<div><p>In hydrogeological modelling, two approaches are commonly used for model calibration: zonation and the pilot-points method. …”

A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method by Amit Kumar Balyan (18288964)

“…To deal with the data-imbalance issue, this research develops an efficient hybrid network-based IDS model (HNIDS), which is utilized using the enhanced genetic algorithm and particle swarm optimization(EGA-PSO) and improved random forest (IRF) methods. …”