A hybrid model to predict the pressure gradient for the liquid-liquid flow in both horizontal and inclined pipes for unknown flow patterns by Md Ferdous Wahid (13485799)

“…This study proposes a hybrid scheme where two machine-learning (ML) models are coupled in a series to predict the PG value without any conclusive FP information. …”

Rayyan—a web and mobile app for systematic reviews by Mourad Ouzzani (3618794)

“…The “suggestions” and “hints,” based on the “prediction model,” appeared as testing progressed beyond five included studies. …”

Data-Driven Electricity Demand Modeling for Electric Vehicles Using Machine Learning by Far, Reza Davoodi

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Anomaly Detection Based Framework for Profile Monitoring by Al-Rahim, Nour Al-Huda Z. Al-Abed

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Model Based Control of Amine Sweetening Unit by Al Hammadi, Jasim

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Robust and novel attention guided MultiResUnet model for 3D ground reaction force and moment prediction from foot kinematics by Md. Ahasan Atick Faisal (15302410)

“…This paper proposes a novel deep learning-based approach to predict 3D GRF&M from only 5 markers placed on the shoe. …”

Self-Perceived performance-based training needs among middle-level nursing managers in Jordan by Mohammad Abo Jalghef (17704350)

“…In addition, age, gender, prior training in nursing management, and years of experience as middle-level nurse managers significantly predicted the levels of training needed (R2 = 0.23, P < 0.001).…”

Machine Learning-Based Approach for EV Charging Behavior by Shahriar, Sakib

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Prediction of Soil Loss in a Reservoir Watershed Using an Erosion Model and Modern Technological Tools: A Case Study of Marathon Lake, Attica in Greece by Pavlopoulos, Kosmas

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ECP: Error-Aware, Cost-Effective and Proactive Network Slicing Framework by Amr E. Aboeleneen (19237135)

“…Specifically, our method utilizes historical load data per service and employs AI-based forecasts for service load prediction. Subsequently, it employs a Deep Reinforcement Learning (DRL) agent on O-RAN’s virtual Control Unit (vCU) and virtual Distributed unit (vDU) to correct errors in prediction and optimize the cost of slice allocation based on service KPI requirements, ultimately pre-allocating future network slices at reduced costs. …”

The Strategic HRM and Satisfaction Behaviours in Defenders Strategy Based Organisations by Al-Hawashim, Ahmed Mohammed S

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Dynamic mechanical characterization and modelling of polypropylene based organoclay nanocomposite by Kui Wang (137551)

“…<p dir="ltr">In order to investigate the dynamic behaviour of polypropylene based organoclay nanocomposite, the polypropylene matrix and a master batch of polypropylene modified anhydrid maleic were mixed by means of melt mixing technique. …”

Calculation of Average Road Speed Based on Car-to-Car Messaging by Ramzy, Ahmed

“…These predictions are mainly based on historical data. Systems that provide near real-time road condition updates, e.g. …”
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Toward a contagion-based model of mobile banking adoption by Walid Chaouali (12059982)

Battery Energy Management Techniques for Electric Vehicle Traction System by AbdelAziz, Ahmed Sayed AbdelAal

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Competition vs cooperation: An agent based model for sustainable tomatoes’ import system by Sarah Namany (17268922)

“…Interactions between trade partners are modeled using two game theoretic approaches counting<u> Cournot</u><u> competition</u> and <u>Cartel</u> collusion. Based on the research findings, a competitive global market can bring economic benefits to Qatar as an importing nation, but this approach also entails substantial <u>water consumption</u> and results in significant environmental emissions. …”

Mulberry Leaf Disease Detection Using CNN-Based Smart Android Application by Abdus Salam (1918387)

Kernel-Ridge-Regression-Based Randomized Network for Brain Age Classification and Estimation by Raveendra Pilli (21633287)

“…Moreover, the proposed algorithm demonstrated excellent prediction accuracy with a mean absolute error (MAE) of <b>3.89</b> years, <b>3.64 </b>years, and <b>4.49</b> years for GM, WM, and CSF regions, confirming that changes in WM volume are significantly associated with normal brain aging. …”

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

“…The main pathological factors were preexisting diabetes (increase by +175.7 g) and smoking (decrease by −190.9 g). …”

YOLO-DefXpert: An Advanced Defect Detection on PCB Surfaces Using Improved YOLOv11 Algorithm by Prabu Selvam (22330264)

“…Accurately identifying small defects on PCB surfaces remains a considerable challenge, particularly under complex background conditions, due to the intricate and compact layout of the boards. …”