Application of Data Mining to Predict and Diagnose Diabetic Retinopathy by Haniyeh, Maryam

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Identifying and Assessing the Significance of Digital Twin Enablers in the Construction Industry by Isbaih, Sara Samir

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Scalable Nonparametric Supervised Learning for Streaming and Massive Data: Applications in Healthcare Monitoring and Credit Risk by Mohamed Chaouch (17983846)

“…Additionally, an online classifier is developed for streaming data, combining online PCA with a kernel-based recursive classifier using a stochastic approximation algorithm. …”

Using XAI Techniques to Detect Targeted Data Poisoning Attacks on Healthcare Applications of Machine Learning Systems by Eyad Dhaher Megdadi

“…This research study explores the application of Explainable Artificial Intelligence (XAI) methods for detecting targeted data poisoning attacks in healthcare machine learning systems. …”
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Self-Supervised Learning Powered by Synthetic Data From Diffusion Models: Application to X-Ray Images by Abdullah Hosseini (22466602)

“…These findings underscore a significant advancement in the generation of synthetic medical images, providing a viable approach to creating realistic, biomarker-preserving datasets that ensure patient confidentiality and enable diverse applications in medical imaging.…”

The use of multi-task learning in cybersecurity applications: a systematic literature review by Shimaa Ibrahim (22155739)

“…Cybersecurity has become vital in information technology, with data protection being a major priority. Despite government and corporate efforts, cybersecurity remains a significant concern. …”

Evaluating machine learning technologies for food computing from a data set perspective by Nauman Ullah Gilal (17302714)

“…It has recently become an important focus of multimedia and social media applications. The rapid increase of available image data and the fast evolution of artificial intelligence, paired with a raised awareness of people’s nutritional habits, have recently led to an emerging field attracting significant attention, called food computing, aimed at performing automatic food analysis. …”

The Development And Significance Of Business Intelligence (BI) Platforms In Facilitating The Decision-Making Process In Dubai Government Entities by ALMHEIRI, ABDULLA OBAID MOHAMMED

“…However, its application and benefits for the Dubai government entities for effective data management and decision making have not been investigated before. …”
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Novel interpretable and robust web-based AI platform for phishing email detection by Abdulla Al-Subaiey (19757007)

Enhancing Arabic Reading Proficiency as a Second Language: Unveiling the Significance of Audiobooks for Middle School Students by SAAD, HEBA ABDALLA AMIN

“…Findings- The analysis of data revealed that the good application of Audiobooks in Dubai schools is yet to be accomplished. …”
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Survey of Multimodal Federated Learning: Exploring Data Integration, Challenges, and Future Directions by Mumin Adam (22466626)

“…<p dir="ltr">The rapidly expanding demand for intelligent wireless applications and the Internet of Things (IoT) requires advanced system designs to handle multimodal data effectively while ensuring user privacy and data security. …”

Enhanced computer vision applications with blockchain: A review of applications and opportunities by Najmath, Ottakath

“…Videos and image processing have significantly transformed computer vision, enabling computers to analyse, and manipulate visual data. …”
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Big Data Governance and Innovation Performance: The Mediating Role of Big Data Analytics Capabilities, and Organisational Agility by AL KAMZARI, MARYAM ALI

“…Big data governance has become a top consideration in Information Technology and business management due to exponential data growth and its various applications. …”
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A Survey of Data Clustering Techniques by Sobeh, Salma

“…Clustering, an unsupervised learning technique, aims to identify a specific number of clusters to effectively categorize the data through data grouping. Hence, clustering is related to many fields and is used in various applications that deal with large datasets. …”
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Predicting Mobile Game Success Using Data Analytics by ALOMARI, KHALED MOHAMMAD

“…This study addresses these challenges through data driven research of the mobile gaming application market, mobile gaming application features, user acquisition and retention trends, and monetization strategies using the CRISP-DM model for data mining in order to prove a successful method for predictions of mobile game application success. …”
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A Hybrid Semantic Integration Framework for Improving Data Quality by Hamdy, Mahmoud Esmat

“…This study aims to develop a new hybrid framework of semantic integration to improve data quality in order to resolve the problem from scattered data sources and rapid expansions of data. …”
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Measuring LEED–NC applicability in design for hospitality by Marie Cracknell, Teresa

“…Conclusions are presented according to the data and recommendations made to support further growth and success in future applications of LEED sustainable design in hospitality.…”
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Kinship recognition from faces using deep learning with imbalanced data by Hadid, Abdenour

“…This has attracted a significant interests among the scientific community due to its potential applications in social media mining and finding missing children. …”
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An integrated data-centric innovations strategy for tackling road safety in Qatar by Adnan Abu-Dayya (16904850)

“…This strategy is based on utilizing distributed data and connected devices to deliver intelligent user-centric services and applications that will tackle different problems contributing to road accidents in Qatar and the region. …”

Exploring the potential of onboard energy scavenging subsystems for generating valuable data by Raziq Yaqub (16488878)

“…The wealth of data that we obtain from an onboard energy scavenging subsystem holds significant potential. …”