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Lipophilic Metabolites and Anatomical Acclimatization of Cleome amblyocarpa in the Drought and Extra-Water Areas of the Arid Desert of UAE
Published 2019“…The plant showed the presence of shaggy-like trichomes. The plant also developed special mechanisms to ensure its survival via release of lipophilic metabolites. …”
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Nonclassicality of open circuit QED systems in the deep-strong coupling regime
Published 2021“…<p dir="ltr">We investigate theoretically how the ground state of a qubit–resonator (Q–R) system in the deep-strong coupling (DSC) regime is affected by the coupling to an environment. …”
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An Efficient Prediction System for Diabetes Disease Based on Deep Neural Network
Published 2021“…The deaths by diabetes are increasing each year, so the need to develop a system that can effectively diagnose diabetes patients becomes inevitable. …”
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Latest Developments in Adapting Deep Learning for Assessing TAVR Procedures and Outcomes
Published 2023“…Recent advancements in the deep learning (DL) domain can offer a real-time surrogate that can render hemodynamic parameters in a few seconds, thus guiding clinicians to select the optimal treatment option. …”
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The impact of size on particle drainage dynamics and antibody response
Published 2021“…The size and the repetitive geometric shape of virus-like particles (VLPs) influence their immunogenicity by facilitating drainage to secondary lymphoid organs and enhancing interaction with and activation of B cells and innate humoral immune components. …”
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Pavement Crack Assessment Using Satellite Remote Sensing and Deep Learning Model
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49
Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning
Published 2022“…By evaluating prior evaluations, it has become simpler for individuals to identify movies that live up to their expectations thanks to technologies like machine learning (ML) and deep learning (DL). …”
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Exploring Beyond Numeric Weight Loss: The Metabolic Effects of Semaglutide.
Published 2025“…The global burden of overweight and obesity has increased by threefold since the 1970s, which led to increased incidences of cardiovascular disease and type 2 diabetes. …”
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A Novel Deep Learning Technique for Detecting Emotional Impact in Online Education
Published 2022“…Transfer learning for a pre-trained deep neural network is used as well to increase the accuracy of the emotion classification stage. …”
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Hybrid deep learning based threat intelligence framework for Industrial IoT systems
Published 2025“…The proposed approach was also compared against several contemporary deep learning-based architectures and existing benchmark algorithms. …”
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Just-in-time defect prediction for mobile applications: using shallow or deep learning?
Published 2023“…Traditional machine learning-based defect prediction models have been built since the early 2000s, and recently, deep learning-based models have been designed and implemented. …”
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Hand-Crafted Features with Simple Deep Learning Architectures for Human Activity Recognition
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57
Deep Learning for Aspect-Based Sentiment Analysis of Government Mobile Apps Reviews
Published 2018“…The number of smartphone users in the United Arab Emirates (UAE) has increased by 25% in the last four years (Statista.Com 2018c). …”
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Comparative Analysis of Supervised Machine and Deep Learning Algorithms for Kyphosis Disease Detection
Published 2023“…While the calculations were being performed, certain variables were modified. The accuracy was increased by optimizing the fit parameters based on Hyperparameter tuning. …”
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An overview of diabetes mellitus in pregnant women with obesity
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Review on COVID-19 diagnosis models based on machine learning and deep learning approaches
Published 2021“…Therefore, many researchers have developed several intelligent techniques, such as deep learning (DL) and machine learning (ML), which can assist the healthcare sector in providing quick and precise COVID-19 diagnosis. …”
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