The potential of technology in education. (c2016) by Zain, Farah

“…A conceptual model was developed based on a theoretical framework combining the Gamification in education Theory (Pelling, 2011) and the Theoretical Extension of the Technology Acceptance Model (Venkatesh & Davis, 2000). …”
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Privacy-preserving energy optimization via multi-stage federated learning for micro-moment recommendations by Md Mosarrof Hossen (21399056)

“…To address this challenge, this study aims to optimize household energy consumption while preserving data privacy by proposing an innovative two-stage Federated Learning (FL) framework that delivers real-time micro-moment-based recommendations. Leveraging FL enables efficient model training across diverse end-user applications while preserving data privacy. …”

Business Process Re-engineering Strategies for United Arab Emirates’ Public Organizations by AlShamsi, Hind Ahmed

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The effects of Organisational Ambidexterity and New Public Management on Public Sector Service Quality through Service Innovation by ALKAABI, SEEMA SAADY

“…By means of structural equation modelling, it was found that exploration, exploitation and NPM relate positively and significantly to service innovation. …”
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Effect of Crude Oil Products on the Geotechnical Properties of Sandy Soil by Shaheen, Ehab Taher

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A Principal-Agent Approach for the Effective Design of a Renewable Energy Incentive for a Heavily Subsidized Residential Sector: The Case of Qatar by Sikandar Abdul Qadir (17947799)

“…The effect of varying model parameters on incentive design is investigated, and a detailed financial analysis is conducted based on the redirection of saved energy resources from domestic consumption to international exports of gas and electricity.…”

The Impact of Dynamic Managerial Capabilities on Response Strategies to Disruptive Innovation: The Mediating Role of Unlearning and Moderating Role of Managerial Discretion by MADI-ODEH, RANA B. S.

“…Utilizing (IBM-SPSS 26.0) and (IBM- Amos 23.0), data were analyzed through covariance-based structural equation modelling technique (SEM). …”
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A geographic information system method to generate long term regional solar radiation resource maps: enhancing decision-making by Sachin Jain (19161721)

“…Digital surface model data is used as an auxiliary variable to further scale down to 30 m resolution. …”

Federated Transfer Learning for Authentication and Privacy Preservation Using Novel Supportive Twin Delayed DDPG (S-TD3) Algorithm for IIoT by Arumugam K (18456690)

“…Specifically, Novel Supportive Twin Delayed DDPG trains the user model to authenticate specific regions. As it is considered one of the most open and scalable interacting platforms of information, it successfully helps in the positive transfer of different kinds of data between devices in more significant and local operations of the industry. …”

Human factors frameworks in analysis of contributory factors to medication error: A systematic review by Duha, Rashdan

“…ResultsThis review included 43 studies that took place in 16 different countries between 2002 and 2024. eleven HF frameworks were used to analyse medication errors, with Reason's model as the most frequently utilized. Communication factors, adverse mental status, physical and mental limitations, skill-based errors, and organizational influences were frequently reported factors contributing to medication errors. …”
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Identification of potential managed aquifer recharge sites in hyper-arid environment using GIS and analytical hierarchy process by Hazrat Bilal (7367477)

“…This study employs a GIS-based multi-criteria evaluation technique, integrating both ground and remote sensing datasets. …”

Analysis of the Impact of Information and Communication Technology, Digitalization, Renewable Energy and Financial Development on Environmental Sustainability by Lanouar Charfeddine (10705000)

“…This study employs the Panel Vector Auto-Regression model to evaluate this assertion across the top ten most polluted countries from 1995 to 2018. …”

Evaluation of Neuro Images for the Diagnosis of Alzheimer's Disease Using Deep Learning Neural Network by Ahila A (18394806)

“…As a result, the retrieved features had a significant impact on the recognition rate of previous techniques. …”

Understanding dark side of artificial intelligence (AI) integrated business analytics: assessing firm’s operational inefficiency and competitiveness by Nripendra P. Rana (14047252)

“…Drawing on the resource-based view, dynamic capability view, and contingency theory, the proposed research model captures the components and effects of an AI-BA opacity on a firm’s risk environment and negative performance. …”

A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass by Uzma Nawaz (21980708)

“…Deep learning approaches have made significant progress in digital image processing, particularly in object recognition and classification, and are among the most popular computer vision tools. …”

A Critical Investigation of the Effectiveness of Career and University Guidance on Secondary Students in the Abu Dhabi, U.A.E. by HAMZE, SOHA

“…The UAE government has made significant investments in education, focusing on improving secondary school careers and university guidance programs. …”
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CSR, organizational identification, normative commitment, and the moderating effect of the importance of CSR by El-Kassar, Abdul-Nasser

“…These findings were obtained by first, demonstrating the reliability and validity of the measurement model, and then by calculating the structural model path coefficients and determining their significance. …”
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Numerical Simulation of Shrubland-Fire Spread: A Parametric Study by Tayba, Abdel Razzak

“…This work synthesizes two complementary parametric studies conducted with FireStar3D, a physics-based CFD wildfire model, to investigate how the rate of spread (ROS) and other fire behavior characteristics relate to Byram’s convective number (a non-dimensional number characterizing fire behavior) across both wind-driven and plume-dominated shrubland fire regimes. …”
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Approximate differentiator with varying bandwidth. (c2019) by Jaafar, Rayana Hussein

“…In this thesis, we exploit key differences between the continuous-time model of the DF and its discrete-time model. We show that the discrete-time filter shares the characteristics of an exponentially weighted moving average; in particular, the filter smooths the derivative of its input. …”
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Enhanced coronary artery segmentation and stenosis detection: Leveraging novel deep learning techniques by Abu Jaffor Morshedul Abedin (22803884)

“…This study proposes a novel <u>deep learning </u>framework aimed at improving both full artery segmentation and <u>stenosis</u> localization by incorporating Self-Organizing <u>Neural Networks</u> (Self-ONN). The DenseSelfU-Net model leverages DenseNet121 as an encoder and a Self-ONN enhanced decoder within a U-Net based architecture to achieve robust feature extraction and precise full artery segmentation, achieving an IoU of 82.52% and a Dice score of 90.35% on the ARCADE Challenge dataset. …”