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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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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“…Analysis of annual NO<sub>2</sub> levels from 2019 to 2023 showed an increase in 2022 compared to that of the previous three years and a clear decrease in 2023 post the completion of the world cup preparations and hosting. …”
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Assessment of community noise problem in greater Beirut area, Lebanon
Published 2003“…Over the last two decades, urban noise has been increasingrapidly, primarily in urban areas, due to population growthand the increase of certain noise sources. The main objectiveof this paper is to assess the sources and possible impactsof the community noise problems in Lebanese urban areas,particularly the Greater Beirut Area. …”
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The effect of vancomycin doses greater than 2 grams on serum creatinine and vancomycin trough levels
Published 2014“…Conclusion: The use of doses greater than 2 grams of IV vancomycin did not show a statistically significant increase in serum creatinine. …”
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Determinants of improper versus proper waste disposal practices by households: Evidence from greater Cairo’s urban slums
Published 2025“…Accordingly, this study investigates the determinants of household solid waste disposal practices in the urban slums of Greater Cairo using data from the Survey of Young People in Informal Urban Areas of Greater Cairo (SYPE-IGC) in 2016. …”
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A control algorithm to increase the efficient operation of wind energy conversion systems under extreme wind conditions
Published 2022“…<p dir="ltr">This paper aims to increase the power production of gearless permanent magnet synchronous generator (PMSG) based wind energy conversion systems (WECS) in strong (greater than 25 m/s) wind speed regions. …”
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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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Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA
Published 2022“…Driven by the rising deployment of deep reinforcement learning (DRL) techniques that are capable of coping with solving non-convex optimization problems, we employ DRL to predict and optimally tune the IRS phase shift matrices. …”
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Do high energy-efficient buildings increase overheating risk in cold climates? Causes and mitigation measures required under recent and future climates
Published 2022“…While without adequate ventilation, the overheating risk in high-energy-efficient buildings can be higher than old buildings, where decreasing wall and window U-values and infiltration rate has a greater contribution to the increase of indoor temperature, while decreasing window SHGC has a lower contribution to the decrease in indoor temperature compared to the case with adequate ventilation. …”
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Pavement Crack Assessment Using Satellite Remote Sensing and Deep Learning Model
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Shear performance of FRP Reinforced Deep Beams Made of Ultra High Performance Concrete (UHPC)
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Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects
Published 2021“…Recently, due to the enhancement of computing capabilities, the increase of the big data use, and the development of effective algorithms, the deep learning (DL) tool has witnessed a great success in data science. …”