Optimizing pre-copy live virtual machine migration in cloud computing using machine learning-based prediction model حسب Raseena M. Haris (17773470)

Security Supply Chain Using UAVs: Validation and Development of a UAV-Based Model for Qatar’s Mega Sporting Events حسب Khalifa AL-Dosari (17931434)

"…This study proposed and developed a UAV-based SCM model to provide security for Qatar’s mega sporting events, which comprised five factors: traceability, security and privacy, trust, acceptability, and preparedness. …"

An Integrated Model for Metaverse Adoption in Higher Education Institutions: A Structural Equation Modelling and Artificial Neural Network Approach حسب MAGHAYDAH, SAFWAN SULEIMAN MGHIED

"…Three research objectives were formulated based on this model, with subsequent sections providing results and explanations. …"
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Statistical Modelling and Correlation of Membrane Distillation Data حسب Hamdoon, Azza

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Model predictive control of shell benchmark process حسب Amjad, S.

"…Simultaneous control of overhead and bottoms composition in a binary distillation column using reflux and steam flow as the manipulated variables often proves to be particularly difficult because of the interaction inherent in the process. The development of model based control (MPC) theory in the past 20-25 years has provided a framework which caters for the above distillation control problem. …"
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The Business Models of Frugal Enterprises for Sustainable Development in a Constrained Environment حسب Mokter Hossain (14634969)

"…Drawing on institutional theory perspective and the resource-based view, this article explores how frugal enterprises create business models for serving overlooked customers in emerging markets and overcoming the various constraints and institutional voids. …"

Nomograph derivation for underwater sour gas releases in shallow waters based on computational fluid dynamics simulations حسب Wafa Imran (22046537)

A Genetic Algorithm for Improving Accuracy of Software Quality Predictive Models حسب Azar, Danielle

"…However, these models are hard to generalize and reuse on new, unseen software as their accuracy deteriorates significantly. …"
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GIS-BIM Based Regional Seismic Risk Assessment for Dubai, UAE حسب Maky, Ahmed Mansour

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

"…Our analysis reveals that LLMs significantly enhance code completion performance across several programming languages and contexts, and their capability to predict relevant code snippets based on context and partial input boosts developer productivity substantially.…"

Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique حسب J. Jayapradha (21323774)

"…An efficient Cluster Based anonymity model has been proposed to anonymizes the 1:1 dataset with a single sensitive attribute through the introduction of a concept named “Semi-sensitive attribute.” …"

The impact of nozzle diameter and printing speed on geopolymer-based 3D-Printed concrete structures: Numerical modeling and experimental validation حسب Shoukat Alim Khan (14778226)

"…A numerical model is deployed to predict the buildability of these structures, and its results are compared with experimental findings, assessing the efficacy of numerical modeling under varying printing parameter conditions. …"

PFDI: a precise fruit disease identification model based on context data fusion with faster-CNN in edge computing environment حسب Poonam Dhiman (12889038)

"…Many researchers have suggested deep and machine learning-based fruit disease detection and classification models. …"

Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM) حسب Mohammad, Hadi Ahmad

"…Climate change significantly impacts local, regional, and global vegetation changes. …"
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Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM) حسب Mohammad Hadi Ahmad (17632248)

"…<p>Climate change significantly impacts local, regional, and global vegetation changes. …"

A Meta-Analysis to Gauge the Effectiveness of STEM Informal Project-Based Learning: Investigating the Potential Moderator Variables حسب Malavika Santhosh (17714346)

"…However, the participants’ educational level and study location (country) did not emerge as being significant. This study contributes to the bulk of literature that can help academicians to design, develop and implement effective STEM-based informal PjBL models, with special consideration for influential variables (teaching method, assessment method, grade, location, course duration, group size, and subject area).…"

Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn... حسب Mohamed, AlShuweihi

"…This research motivated by the unprecedented increase in diabetes and specifically Type 2 Diabetes Miletus (T2DM), proposes two significant contributions. The first is a comprehensive ML framework for the construction of diagnostic binary classification high accuracy models to predict T2DM in the United Arab Emirates based on STEPS style National Health Survey. …"
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A Testing Framework for Blockchain-Based Energy Trade Microgrids Applications حسب Ameni Boumaiza (19160734)

"…The ensuing simulation environment provides a decision-support platform for designing and implementing decentralized trading systems based on blockchain technology, and high-performance computing can enhance model performance for scalable energy blockchain analysis in Qatar and beyond.…"

Deep Models for Stroke Segmentation: Do Complex Architectures Always Perform Better? حسب Ahmed Soliman (4591621)

"…In this paper, we evaluated the performance of four types of deep models for stroke segmentation: 1) a pure Transformer-based architecture (DAE-Former), 2) two advanced CNN-based models (LKA and DLKA) with attention mechanisms, 3) a hybrid model that incorporates CNNs with Transformers (FCT), and 4) the well-known self-adaptive nnU-Net framework. …"

Two Analytical Models (with Infinite Buffer) for Evaluating Performance of Gigabit Ethernet Hosts حسب Salah, Khaled

"…The first model is based on Markov processes and queueing theory, while the second, which is more accurate but more complex, is a pure Markov process. …"
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