LightEnsemble-Guard: An Optimized Ensemble Learning Framework for Securing Resource-Constrained IoT Systems by Muhammad Usama Tanveer (22225360)

“…<p dir="ltr">The rapid proliferation of real-time Internet of Things (IoT) devices has increased the need for efficient and accurate security mechanisms. …”

Success rates for endoscopic retrograde cholangiopancreatography (ERCP) in patients with altered anatomy from prior surgical intervention by Azar, Riad R.

“…We examined our rate of success with endoscopic techniques to access the biliary tree in patients with altered anatomy.…”
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Achieving thermal comfort by applying passive cooling strategies to courtyard houses in Dubai (UAE) by Feroz, Sheikh Mehreen

“…The NW orientation, the highest geometry of a height to width (H:W) ratio of 1.35, groups of trees and continuous grass were discovered to be the coolest parameters included in the enhanced scenario. …”
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The Use of Enumerative Techniques in Topological Optimization of Computer Networks Subject to Fault Tolerance and Reliability by Abd-El-barr, Mostafa

“…They are based on enumerating all the possible paths (for Terminal reliability) and all the spanning trees (for ��Network reliability). Existing enumeration-based techniques for solving this network optimization problem ignore the fault-tolerance aspect in their solution. …”
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Simulating microclimate adaptation: Evaluating heat mitigation strategies for Doha, Qatar, under current and future climate conditions by Omer Abedrabboh (17346847)

“…The scenarios are based on four heat mitigation strategies: (1) Green infrastructure, including extensive and intensive green roofs and facades, increased tree canopy cover, and introduction of an urban park, (2) cool and super cool materials for roofs, facades, and pavements, (3) urban morphology modifications, increasing building heights, and (4) shading structures. …”

Do high energy-efficient buildings increase overheating risk in cold climates? Causes and mitigation measures required under recent and future climates by Mutasim Baba, Fuad

“…While without adequate ventilation, the overheating risk in high-energy-efficient buildings can be higher than old buildings, where decreasing wall and window U-values and infiltration rate has a greater contribution to the increase of indoor temperature, while decreasing window SHGC has a lower contribution to the decrease in indoor temperature compared to the case with adequate ventilation. …”
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Reliability and fault tolerance based topological optimization of computer networks - part I: enumerative techniques by Abd-El-Barr, Mostafa

“…They are based on enumerating all possible paths (for terminal reliability) and all the spanning trees (for network reliability). Existing enumeration-based techniques for solving this network optimization problem ignore the fault-tolerance aspect in their solution. …”
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A Novel Big Data Classification Technique for Healthcare Application Using Support Vector Machine, Random Forest and J48 by Al-Manaseer, Hitham

“…This was done by studying the performance of three well-known classification algorithms Random Forest Classifier (RFC), Support Vector Machine (SVM), and Decision Tree-J48 (J48), to predict the probability of heart attack. …”
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Gaining or Losing Team Ball Possession: The Dynamics of Momentum Perception and Strategic Choice in Football Coaches by Walid Briki (688845)

“…Nonetheless, both variables displayed asymmetrical effects, in the sense that: (1) the strength of positive PM appeared to be easier to decrease than to increase; and (2) the greater the positive PM (or the negative PM), the lesser (or the greater) the coaches’ tendency to make a change in the organization of their teams. …”

Effect of consanguinity on birth weight for gestational age in a developing country by Wakim, Gerard

“…No significant difference was observed in the decrease in birth weight between the first- and second-cousin marriages. …”
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A Data-Driven Decision-Making Framework for Fleet Management in the Government Sector of Dubai by ALGHANEM, HANI SUBHI MOHD

“…My research aims to develop a data-driven decision support framework for fleet management, focusing on leveraging advanced algorithms, including decision trees and random forests, to generate domain-specific AI models. …”
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Optimizing the number of players and training bout durations in soccer small‐sided games: Effects on mood balance and technical performance by Zouhaier Farhani (22330693)

“…Therefore, coaches should consider longer continuous bouts when planning SSGs‐based training to significantly decrease TMD and enhance technical‐tactical performance in soccer SSGs.…”

Colloid retention and mobilization mechanisms under different physicochemical conditions in porous media: A micromodel study by Safna Nishad (16932474)

“…However, hydrophilic colloids redeposited on gas-water-solid interfaces or thin water films because of their greater capillary potential. Therefore, greater filtration efficiency is achieved with the hydrophilic colloids compared to the hydrophobic colloids for which the efficiency can be improved by changing the solution chemistry. …”

Why Don’t People Ride Bicycles in High-Income Developing Countries, and Can Bike-Sharing Be the Solution? The Case of Qatar by Khaled Shaaban (6393764)

“…When asked about motivators for cycling, the results revealed that improving intersections, adding additional infrastructure facilities, planting trees for shading, affordable bicycles, and campaigns targeting potential cyclists and drivers are needed in order to increase cycling. …”

A Clinically Interpretable Approach for Early Detection of Autism Using Machine Learning With Explainable AI by Oishi Jyoti (21593819)

“…After handling missing values, balancing the dataset, and analyzing the classifier’s performance, it is found that tree-based algorithms, particularly RF, perform better for all the datasets. …”

Effect of Construction Void Defects on Flexural and Axial Load Capacity of Reinforced Concrete Members by Al Moukdad, Mohammad Mustafa

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A New Data-Based Dust Estimation Unit for PV Panels by Shaaban, Mostafa

“…In this approach, a dust estimation unit based on a regression tree model has been developed to estimate the dust accumulation. …”
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Daytime Variation of Urban Heat Islands: The Case Study of Doha, Qatar by Yasuyo Makido (18808108)

“…To help explain near-surface air temperatures using land cover variables, we employed three statistical approaches: Ordinary Least Squares (OLS), Regression Tree Analysis (RTA), and Random Forest (RF). We validated the predictions of the statistical models by computing the Root Mean Square Error (RMSE) and discovered that temporal variations in urban heat are mediated by different factors throughout the day. …”

Estimating Dust Accumulation on Photovoltaic Modules in the UAE by AlArif, Amal AbdulAziz

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Machine Learning Based Photovoltaics (PV) Power Prediction Using Different Environmental Parameters of Qatar by Amith Khandakar (14151981)

“…The ANN model outperforms other regression models, such as a linear regression model, M5P decision tree and gaussian process regression (GPR) model. …”