Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique by 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 by 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 by Poonam Dhiman (12889038)

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

Investigations on Entrepreneurship Needs, Challenges, and Models for Countries in Transition to Sustainable Development from Resource-Based Economy—Qatar as a Case by Mohammad I. Al-Housani (19170967)

A meta-analysis to gauge the impact of pedagogies employed in mixed-ability high school biology classrooms by Malavika E. Santhosh (19676188)

“…Further findings also propound the necessity for future studies evaluating affective gains during project-based, problem-based, and argumentation-based models and behavioral gains during blended models. …”

Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030) by Khaled F. Alkaraki (22051967)

“…</p><h2>Other Information</h2><p dir="ltr">Published in: GeoJournal<br>License: <a href="https://creativecommons.org/licenses/by/4.0" target="_blank">https://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1007/s10708-024-11187-3" target="_blank">https://dx.doi.org/10.1007/s10708-024-11187-3</a></p>…”

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... by 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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Dynamics of Neisseria gonorrhoeae transmission among female sex workers and clients: A mathematical modeling study by Houssein H., Ayoub

“…A deterministic model was also used to describe NG transmission from clients to their spouses. …”
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Prediction of CO₂ uptake in bio-waste based porous carbons using model agnostic explainable artificial intelligence by Mohd Azfar Shaida (19756971)

A customised fetal growth and birthweight standard for Qatar: a population-based cohort study by Thomas Farrell (3933833)

“…</p><h2>Other Information</h2><p dir="ltr">Published in: Journal of Perinatal Medicine<br>License: <a href="http://creativecommons.org/licenses/by/4.0" target="_blank">http://creativecommons.org/licenses/by/4.0</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1515/jpm-2024-0060" target="_blank">https://dx.doi.org/10.1515/jpm-2024-0060</a></p>…”

Key determinants of SMEs’ export performance: a resource-based view and contingency theory approach using potential mediators by Arsalan Safari (10300058)

“…This study uses primary data collected via extensive surveys from active SMEs in three main industrial regions in Vietnam to undertake confirmatory factor analysis and structural equation modeling for quantitative analysis.</p><h3>Findings</h3><p dir="ltr">The results confirm and show the significant effects of various determinants on firms’ export performance. …”

Glass Selection for High-Rise Residential Buildings in the United Arab Emirates based on Life Cycle Cost Analysis by Mokhtar, Ahmed

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DiaNet v2 deep learning based method for diabetes diagnosis using retinal images by Hamada R. H. Al-Absi (16726299)

“…This study explores an alternative approach involving retinal images, building upon the DiaNet model, the first deep learning model for diabetes detection based solely on retinal images. …”

A Meta-Analysis to Gauge the Effectiveness of STEM Informal Project-Based Learning: Investigating the Potential Moderator Variables by 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).…”

Particle size impact on pyrolysis of multi-biomass: a solid-state reaction modeling study by Sabah Mariyam (14150859)

“…The primary purpose of this study is to understand the effect of different particle sizes of biomass wastes – date stones (DS), cow manure (CM), and spent coffee grounds (SCG) – to understand better and design a biomass pyrolysis system. Thermogravimetric analysis of four different sizes of DS, SCG, and CM (range 1 mm to 125 μm) and a mixed sample (for each feed) was conducted at a heating rate of 10K/min from room temperature to 1173.15 K at inert conditions and employed model-based Coats–Redfern equations to understand the kinetic and thermodynamic parameters of the pyrolysis process. …”

Reinforcement Learning Based EV Charging Management Systems–A Review by Heba M. Abdullah (16896384)

“…More recently, there has been an increasing interest in data-driven approaches in EV charging modeling. Consequently, researchers are looking to deploy model-free approaches for solving the EV charging management with uncertainties. …”

Aspect-based sentiment analysis using smart government review data by Alqaryouti , Omar

“…Also, the integrated classification model outperforms the lexicon-based baseline and the other rules combinations by 5% in terms of Accuracy on average. …”
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Using machine learning algorithm for detection of cyber-attacks in cyber physical systems by Almajed, Rasha

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Intrusion Detection for Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach by Shaikh Afnan Birahim (22303750)

Blue collar laborers’ travel pattern recognition: Machine learning classifier approach by Aya Hasan Alkhereibi (17151070)

“…Furthermore, whilst the Bagged Clusters and Pamk Clusters techniques on the three attributes yielded similar results, the Cmeans Clusters differed significantly in a number of the clusters. Applying such pattern recognition models on big and complex activity datasets could assist transport planners to understand the travel needs of segments of the population well and formulating better-informed strategies.…”