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The Role of Artifical Intelligence in Enterprise Risk Managment
Published 2023“…AI can be an effective tool in business since it drives cost efficiencies and operational awareness. …”
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Using Mobile Technology for Coordinating Educational Plans and Supporting Decision Making Through Reinforcement Learning in Inclusive Settings
Published 2021“…Good coordination among these stakeholders leads to increased behavioural and academic progress for the learners. …”
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An End-to-End Concatenated CNN Attention Model for the Classification of Lung Cancer With XAI Techniques
Published 2025“…However, manual diagnosis is labor-intensive, requiring the specialized expertise of radiologists, and the increasing number of cancer cases presents challenges in processing large volumes of image data efficiently. …”
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Optimising the Role of Innovative Technologies in Risk Management Strategies for Extension of Time Disputes Avoidance
Published 2025“…Throughout the doldrums of global tensions and economic instability, the construction sector in the UAE has risen to become a vibrant and fast growing one, fuelled by ambitious projects and large investments. The country's strategy vision, economic resilience, and international investors attraction is driving this expansion that is leading to the development of the large infrastructure in the UAE and increasing its reputation as a global business hub. …”
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Integration of Artificial Intelligence in E-Procurement of the Hospitality Industry: A Case Study in the UAE
Published 2020“…The hospitality industry is growing at an increasingly fast pace across the world which results in accumulating a large amount of data, including employee details, property details, purchase details, vendor details, and so on. …”
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The Challenges of Implementing English Formative and Summative Assessments in Secondary Schools in the UAE: Perspectives of Teachers and School Leaders
Published 2025“…Summative assessments are often given more importance, which may increase student anxiety and lead teachers to focus more on reading and writing skills. …”
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Pavement Crack Assessment Using Satellite Remote Sensing and Deep Learning Model
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A Comprehensive Overview of the COVID-19 Literature: Machine Learning–Based Bibliometric Analysis
Published 2021“…Our study shows that an AI-based bibliometric analysis has the potential to rapidly explore a large corpus of academic publications during a public health crisis. …”
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Isolation and study of Lipase activity of an olive oil degrading Thermoactionomyces SP. (c2002)
Published 2002“…A ftlamentous, Gram-Positive, spore forming filamentous bacterium was isolated from soil (AI Koura - Lebanon) on rhodamine agar plates at 60°C. …”
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Towards electric digital twin grid: Technology and framework review
Published 2023“…The whole consumers and nation feel relief from these types of accidents and saves from large economic and business loss. The blockchain-enabled digital twin grid provides high security for the grid from cyberattacks. …”
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Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
Published 2023“…<p dir="ltr">Recently, developing automated video surveillance systems (VSSs) has become crucial to ensure the security and safety of the population, especially during events involving large crowds, such as sporting events. While artificial intelligence (AI) smooths the path of computers to think like humans, machine learning (ML) and deep learning (DL) pave the way more, even by adding training and learning components. …”
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Overview of Artificial Intelligence–Driven Wearable Devices for Diabetes: Scoping Review
Published 2022“…<h3>Background</h3><p dir="ltr">Prevalence of diabetes has steadily increased over the last few decades with 1.5 million deaths reported in 2012 alone. …”
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Potential Biomarkers to Predict Acute Ischemic Stroke in Type 2 Diabetes
Published 2021“…We hypothesized that those biomarkers indicative of acute ischemic stroke (AIS) seen in large vessel occlusion (LVO) may also be elevated in T2D and further enhanced by stress conditions; therefore, these proteins represent potentially predictive biomarkers for those T2D patients at high risk of AIS.…”
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