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Need for Affect, Problematic Social Media Use and the Mediating Role of Fear of Missing Out in European and Arab Samples
Published 2023“…<h3>Purpose </h3><p dir="ltr">The growing awareness and concern about the excessive use of social media have led to an increasing number of studies investigating the underlying factors contributing to this behavior. …”
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42
Recognizing Plastic Threats in Baggage X-Rays Using Deep Networks
Published 2019Get full text
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43
Evaluating Citizens’ Sentiments in Smart Cities: A Deep Learning Approach
Published 2021“…Recently, social media users are increasingly using images and videos to express their feelings and share emotions. …”
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44
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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Deep aging clocks: AI-powered strategies for biological age estimation
Published 2025“…<p>Several strategies have emerged lately in response to the rapid increase in the aging population to enhance health and life span and manage aging challenges. …”
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Online Recruitment Fraud (ORF) Detection Using Deep Learning Approaches
Published 2024“…In recent studies, traditional machine learning and deep learning algorithms have been implemented to detect fake job postings; this research aims to use two transformer-based deep learning models, i.e., Bidirectional Encoder Representations from Transformers (BERT) and Robustly Optimized BERT-Pretraining Approach (RoBERTa) to detect fake job postings precisely. …”
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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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48
Unsupervised Deep Learning for Classification Of Bats Calls Using Acoustic Data
Published 2021Get full text
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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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Computed tomography-detected hemothorax after blunt chest trauma: Does everyone need an intervention? A retrospective analysis
Published 2025“…They also had larger hemothorax volumes (<i>p</i> = 0.001), a greater need for mechanical ventilation (<i>p</i> = 0.001), and prolonged hospitalization (<i>p</i>= 0.001). …”
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How does an imaginary persona's attractiveness affect designers' perceptions and IT solutions? An experimental study on users' remote working needs
Published 2023“…Also, the findings point to the need to incorporate hedonic qualities into the persona creation process. …”
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iPSCs derived from insulin resistant offspring of type 2 diabetic patients show increased oxidative stress and lactate secretion
Published 2022“…Clinical studies on first-degree relatives of type 2 diabetic (T2D) patients, which have the highest genetic predisposition to T2D, have given insights into the role of IR in T2D pathogenesis. …”
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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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Pavement Crack Assessment Using Satellite Remote Sensing and Deep Learning Model
Published 2025Get full text
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56
Sentiment Analysis for Arabic Social media Movie Reviews Using Deep Learning
Published 2022“…By utilizing the power of multiple word representations and deep learning approaches, this work seeks to enhance categorization performance. …”
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Assessing additional fuel consumption from cabin thermal comfort and auxiliary needs on the worldwide harmonized light vehicles test cycle
Published 2018“…Cabin heating and cooling can especially lead to considerable increase in vehicle energy consumption. This paper presents a simulation-based assessment framework to account for the additional fuel consumption related to the cabin thermal energy and auxiliary needs under the worldwide-harmonized light vehicles test procedure (WLTP). …”
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Investigations on Entrepreneurship Needs, Challenges, and Models for Countries in Transition to Sustainable Development from Resource-Based Economy—Qatar as a Case
Published 2023“…<p dir="ltr">This paper presents a comprehensive and comparative investigation into the needs, challenges, and potential roles for entrepreneurship in transforming resource-rich countries into sustainable economies. …”
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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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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. …”