Augmented arithmetic optimization algorithm using opposite-based learning and lévy flight distribution for global optimization and data clustering by Abu Zitar, Raed

“…This paper proposes a new data clustering method using the advantages of metaheuristic (MH) optimization algorithms. …”

GAN-Based Data Augmentation for Fault Diagnosis and Prognosis of Rolling Bearings: A Literature Review by Md. Sulyman Islam Sifat (22928983)

“…Through a rigorous selection process, we identified 229 primary studies that employed GAN-based data augmentation, underscoring the widespread use of GANs to generate synthetic data in this field. …”

Effect of corporate ethics and social responsibility on OCB: the role of employee identification and perceived CSR significance by El-Kassar, Abdul-Nassar

“…Based on the data analysis results, the model is validated and the stated hypotheses are supported. …”
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Decision Making Based on Data Analysis Involving Different Stakeholders in Secondary Public and Private Schools of Dubai by AL-AZZAM, BAYAN AHMAD

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A novel spherical fuzzy-based decision model for assessing data management maturity in governmental institutions by Muna Salem AlFadhli (22303876)

“…This necessitates a tailored approach to data governance, given the complexities of balancing public interests with data privacy. …”

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

“…Business Intelligence (BI) technologies provide a flexible platform for businesses to properly store, process, analyse and report data and processes. The use of BI technologies in handling critical data and facilitating data-driven decision making (DDD) has been realised by many literature studies. …”
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Variable Selection in Data Analysis: A Synthetic Data Toolkit by Mitra, Rohan

“…Variable (feature) selection plays an important role in data analysis and mathematical modeling. This paper aims to address the significant lack of formal evaluation benchmarks for feature selection algorithms (FSAs). …”
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Optimizing malicious website prediction: An advanced XGBoost-based machine learning model by Sumaira Hussain (19259669)

Deep random vector functional link transformer network with multiple output layers for significant wave height forecasting by Aryan Bhambu (18767731)

“…This paper introduces a novel random vector functional link transformer (RFT) and ensemble deep random vector functional link transformer (edRFT) networks to capture the dynamic characteristics of significant wave heights. The model employs hidden blocks based on transformer encoders to effectively capture complex sequential dependencies in the data. …”

Special Issue: Empowering eHealth with Smart Internet of Things (IoT) Medical Devices by Abbes Amira (6952001)

“…IoT helps to store data for millions of patients and perform analysis in real-time, promoting an evidence-based medicine system. …”

Traffic Transformer: Transformer-based framework for temporal traffic accident prediction by Mansoor G. Al-Thani (19237204)

“…Our proposed Traffic Transformer employs the sophisticated multi-head attention mechanism in lieu of the widely used recurrent architecture. This significant shift enhances the model's ability to capture long-range dependencies within time series data. …”

How Dynamic Capabilities in Maintenance Enable Metal Plants in the UAE Via Big Data Analytic Capabilities Towards Digital Twins Adoption? A Mediation and Moderation Analysis by SA’ADEH, AREEJ

“…Mediation and moderation analyses were conducted using SmartPLS4 to test four hypotheses based on data collected from 183 respondents, comprising managers, engineers and technicians from maintenance departments in various metal plants in UAE. …”
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Deep learning-based marine big data fusion for ocean environment monitoring: Towards shape optimization and salient objects detection by Sulaiman Khan (12585349)

“…This research study presents a data fusion-based method for underwater salient object detection and ocean environment monitoring by utilizing a deep model.…”

PFDI: a precise fruit disease identification model based on context data fusion with faster-CNN in edge computing environment by Poonam Dhiman (12889038)

“…This research presents a precise fruit disease identification model based on context data fusion with Faster-CNN in an edge computing environment. …”

Y-Chromosome and mtDNA Genetics Reveal Significant Contrasts in Affinities of Modern Middle Eastern Populations with European and African Populations by Khazen, Georges

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Novel interpretable and robust web-based AI platform for phishing email detection by Abdulla Al-Subaiey (19757007)

Cloud-based deep learning-assisted system for diagnosis of sports injuries by Xiaoe Wu (17541951)

GIS-based spatiotemporal analysis for road traffic crashes; in support of sustainable transportation Planning by Semira Mohammed (15294167)

Do near-bedtime usage of smartphones and problematic internet usage really impact sleep? A study based on objectively recorded usage data by Aftab Alam (5158601)

“…</p><h3> Results</h3><p dir="ltr">The multivariate linear regression showed that the increase in PIU (β = −0.231, p < 0.001) and smartphone usage two hours before sleep (β = −0.246, p < 0.001) led to decrease in sleep duration. …”

Analyzing the Efficiency of Working Capital Management: a New Approach Based on DEA‑Malmquist Technology by Mohamed Habib, Ahmed

“…This study uses several techniques to achieve its goals, including the Malmquist index (MI), data envelopment analysis (DEA), and Tobit regression. …”
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