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Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
Published 2023“…To that end, deep transfer learning (DTL) and deep domain adaptation (DDA) have recently been proposed as promising solutions to alleviate these issues. …”
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Enhancing Healthcare Systems With Deep Reinforcement Learning: Insights Into D2D Communications and Remote Monitoring
Published 2024“…The core of DRLLVT is its novel algorithm that leverages Deep Reinforcement Learning (DRL) to dynamically adapt to changing environmental conditions, facilitating real-time decisions that consider node capacities, latency, and the overall network dynamics. …”
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Time to diagnose and time to surgery in patients presenting with necrotizing fasciitis: a retrospective analysis
Published 2025“…In contrast, delayed diagnosis (TTD > 6 h) was significantly associated with increased mortality, regardless of the TTS.</p><h3>Conclusion</h3><p dir="ltr">Timely diagnosis within 6 h is crucial for improving outcomes in NF. …”
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Revisiting leishmaniasis in the time of war
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Increasing methylation of sperm rDNA and other repetitive elements in the aging male mammalian germline
Published 2020“…<p dir="ltr">In somatic cells/tissues, methylation of ribosomal DNA (rDNA) increases with age and age‐related pathologies, which has a direct impact on the regulation of nucleolar activity and cellular metabolism. …”
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Deep Learning for Arabic Error Detection and Correction
Published 2020“…We introduce an approach that investigates employing deep neural network technology for error detection in Arabic text. …”
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Knowledge-based Deep Learning for Modeling Chaotic Systems
Published 2022“…Deep Learning has received increased attention due to its unbeatable success in many fields, such as computer vision, natural language processing, recommendation systems, and most recently in simulating multiphysics problems and predicting nonlinear dynamical systems. …”
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Deep Learning for the Accurate Prediction of Triggered Drug Delivery
Published 2024“…The deep learning-based predictions significantly outperform linear predictions, proving the utility of advanced computational methods in drug delivery. …”
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Assessment of tropospheric NO<sub>2</sub> concentrations over greater Doha using Sentinel-5 TROPOspheric monitoring instrument (TROPOMI) satellite data: Temporal analysis, 2018–202...
Published 2024“…<p dir="ltr">This study presents a temporal evaluation of the tropospheric NO<sub>2</sub> column densities over Greater Doha using TROPOMI satellite data from May 2018 to December 2023, and an assessment of the impact of the preparations and hosting of the FIFA Football World Cup Qatar 2022, on NO<sub>2</sub> levels before, during and after the tournament over Greater Doha. …”
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Cardiovascular autonomic neuropathy is associated with increased glycemic variability driven by hyperglycemia rather than hypoglycemia in patients with diabetes
Published 2023“…ConclusionCAN was associated with increased glycemic variability with less time in euglycemia attributed to a greater time in hyperglycemia but not hypoglycemia.…”
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Cardiovascular autonomic neuropathy is associated with increased glycemic variability driven by hyperglycemia rather than hypoglycemia in patients with diabetes
Published 2023“…</p><h3>Conclusion</h3><p dir="ltr">CAN was associated with increased glycemic variability with less time in euglycemia attributed to a greater time in hyperglycemia but not hypoglycemia.…”
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COVID-19 may have increased global support for universal health coverage: multi-country observational study
Published 2023“…</p><h3 dir="ltr">Results</h3><p dir="ltr">The results show that support for government intervention in healthcare increased across geographical regions, age groups, and gender groups (an average increase of 39%), more than the support for government intervention in other social welfare issues. …”
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Targeted Inactivation of Rin3 Increases Trabecular Bone Mass by Reducing Bone Resorption and Favouring Bone Formation
Published 2021“…</p><p dir="ltr">Correction: Targeted Inactivation of <i>Rin3</i> Increases Trabecular Bone Mass by Reducing Bone Resorption and Favouring Bone Formation <a href="https://doi.org/10.1007/s00223-021-00849-w" target="_blank">https://doi.org/10.1007/s00223-021-00849-w</a>, published online 19 April 2021.…”
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Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA
Published 2022“…As the imperfection increases by ten times, the rate decreases by more than 10%.…”