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Optimization of multiple fuel utilization options in Tri-generation systems
Published 2023“…<p dir="ltr">This work investigates the design of optimal tri-generation systems for heat, power and water production via multiple fuel selections, thus aiming to reduce the reliance on fossil fuel consumption. …”
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Modeling of tri-parameter contracts integrating cost, time and risk
Published 2014Get full text
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Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030)
Published 2024“…This study aimed to model past, present, and future LULCC on Land Surface Temperatures in the Greater Amman Municipality (GAM) in Jordan between 1980 and 2030. …”
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The Effect of High Dose Isoflavone Supplementation on Serum Reverse T3 in Euthyroid Men With Type 2 Diabetes and Post-menopausal Women
Published 2018“…</p><h3>Conclusion</h3><p dir="ltr">Soy isoflavones transiently increased rT3 levels within 3 months though reverted to baseline at 6 months. …”
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The Experience of Palliative Care Nurses in Qatar During the Time of COVID-19: A Qualitative Study
Published 2023“…Palliative care nurses were thrust into a world of chaos as they faced increasing numbers of patients who were in the process of dying.…”
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Video surveillance using deep transfer learning and deep domain adaptation: Towards better generalization
Published 2023“…However, they might not perform as expected, take much time in training, or not have enough input data to generalize well. 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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The Association of Hypertension with Increased Mortality Rate During the COVID-19 Pandemic: An Update with Meta-analysis
Published 2023“…Out of the 611,522 patients, 3119 died which resulted in an overall mortality prevalence of 0.5%. …”
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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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Artificial Intelligence Chatbots: A Survey of Classical versus Deep Artificial Intelligence Chatbots: A Survey of Classical versus Deep Machine Learning Techniques
Published 2023“…In addition to classical ML techniques, Deep Learning (DL) has attracted many researchers to develop chatbots using more sophisticated and accurate techniques. …”
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Use of deep vein thrombosis prophylaxis in hospitalized cancer patients
Published 2009“…Several options are available to increase physicians' awareness of the problem.…”
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A Survey of Deep Learning Approaches for the Monitoring and Classification of Seagrass
Published 2025“…The increase in imagery data has in turn created a demand for automated detection and classification using deep neural network-based techniques. …”