An Overview of Membrane Based NO_x Removal Technologies and Dinitrification Fitlers by Ahmed T. Yasir (17302753)

“…Among these pollutants, nitrous oxides (NO_x) are particularly concerning. …”

Maternal and Neonatal Outcomes Post Bariatric Surgery: A Population-Based Study by Nader I. Al-Dewik (17039794)

“…First, to evaluate the incidence, risk factors, and maternal and neonatal outcomes among pregnant women post-BS (the exposed group). …”

Machine Learning based Model Reveals the Metabolites Involved in Coronary Artery Disease by Fathima Lamya (22565261)

“…We also identified statistically significant metabolic profiles and potential biomarkers using ML methods.…”

Toward a Clearer Understanding of Value‐Based Healthcare: A Concept Analysis by Vahe Kehyayan (21241649)

“…<h3>Background</h3><p dir="ltr"> Value‐based healthcare (VBHC) aims to improve the quality of healthcare delivery while reducing costs and also aims for outcomes that are of utmost importance from patients’ perspectives. …”

NOVEL STACKING CLASSIFICATION AND PREDICTION ALGORITHM BASED AMBIENT ASSISTED LIVING FOR ELDERLY by JINESH, PADIKKAPPARAMBIL

“…Research and development (R&D) projects and business activities in AAL and smart home contexts frequently emphasize the significance of technology. While ICTs promote health care, they have the potential to alleviate loneliness and social isolation among the elderly. …”
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Set-based approach for efficient evaluation and analysis of XACML policies. (c2014) by Jebbaoui, Hussein M.

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Type 2 Diabetes Mellitus Automated Risk Detection Based on UAE National Health Survey Data: A Framework for the Construction and Optimization of Binary Classification Machine Learn... by Mohamed, AlShuweihi

“…This research motivated by the unprecedented increase in diabetes and specifically Type 2 Diabetes Miletus (T2DM), proposes two significant contributions. The first is a comprehensive ML framework for the construction of diagnostic binary classification high accuracy models to predict T2DM in the United Arab Emirates based on STEPS style National Health Survey. …”
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Knowledge-based virtual outdoor weather event simulator using unity 3D by Noueihed, Hamza

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Evolutionary Game-Based Battery Scheduling: A Comparative Study for Prosumers in Smart Grids by Anas Karaki (17947808)

“…<p dir="ltr">Integrating prosumers equipped with renewable energy resources (RES) and battery energy storage systems (BESS) in local energy markets (LEMs) offers economic benefits, in addition to significant environmental advantages. In this paper, a comprehensive energy management system (EMS) framework for battery scheduling is proposed to optimize the use of distributed energy resources (DERs) among prosumers in smart grid communities. …”

Mechanical and corrosion characteristics of TiC reinforced Ni-P based nanocomposite coatings by Mohammad Farhan (17017683)

“…<p dir="ltr">The requirement for effective corrosion protection and better mechanical properties in various industries employing metal components has led to the growth of nickel (Ni)-based metallic coatings. The electroless-synthesized nickel-phosphorus (Ni-P) nanocomposite has emerged as a particularly promising preference among other metallic coatings. …”

What is the impact of implementing problem-based learning (PBL) in school curricula on the development of critical thinking abilities in elementary students? by SAMAD, JOULIANA ABDEL

“…This study examines the effect of implementing Problem-Based Learning (PBL) in elementary school curricula on the development of critical thinking skills among students. …”
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W-Transformers : A Wavelet-based Transformer Framework for Univariate Time Series Forecasting by Sasal, Lena

“…Deep learning utilizing transformers has recently achieved a lot of success in many vital areas such as natural language processing, computer vision, anomaly detection, and recommendation systems, among many others. Among several merits of transformers, the ability to capture long-range temporal dependencies and interactions is desirable for time series forecasting, leading to its progress in various time series applications. …”
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Prevalence, predictors, and outcomes of major congenital anomalies: A population-based register study by Nader Al-Dewik (4166527)

“…The incidence of any CA among live births was 1.3% (n = 332). The most common CAs were CVS (n = 117; 35%), MCAs (n = 69, 21%), chromosomal/genetic (51; 15%), renal (n = 39; 12%), CNS (n = 20; 6%), facial (14, 4%), and other (GIT, Resp, Urogenital, Skeletal) (n = 22, 7%) anomalies. …”

Identity and Aggregate Signature-Based Authentication Protocol for IoD Deployment Military Drone by Saeed Ullah Jan (9079260)

“…Therefore, this research illustrates the designing of two separate protocols based on the aggregate signature, identity, pairing cryptography, and Computational Diffie-Hellman Problem (CDHP) to guarantee data integrity, authorization, and confidentiality among drones and AC2P/PICS. …”

Effects and Perceptions of Game-Based Formative Assessment on Vocabulary Acquisition in EFL Primary Classrooms in the UAE by ALABEDI, FARAH

“…Limitations and recommendations were addressed based on the main results of this research.…”
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Thermodynamic Analysis of an Integrated Hydrogen Production System Based on Solar and Nuclear Energy Sources in the UAE by Babu, Binish Sam

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Multi-IsnadSet MIS for Sahih Muslim Hadith with chain of narrators, based on multiple ISNAD by Aziz Mehmood Farooqi (20748788)

“…<p>In the Islamic domain, Hadiths hold significant importance, standing as crucial texts following the Holy Quran. …”

Efficient experimental design for uncertainty reduction in gene regulatory networks by Roozbeh Dehghannasiri (5725805)

“…<h3>Background</h3><p dir="ltr">An accurate understanding of interactions among genes plays a major role in developing therapeutic intervention methods. …”

Optimizing MPPT Control for Enhanced Efficiency in Sustainable Photovoltaic Microgrids: A DSO-Based Approach by Debabrata Mazumdar (18560506)

“…<p dir="ltr">The output of photovoltaic (PV) systems is significantly impacted by the vagaries of ambient temperature, solar irradiance, and environmental fluctuations. …”

Metabolomics-based prediction model for diabetes: A comprehensive analysis of biomarkers and machine learning approaches by Doaa Farid (22565300)

“…</p><h3>Results</h3><p dir="ltr">Among 450 individuals, 9.33 % (n = 42) were diagnosed with diabetes. …”