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Integration of Wind Catchers in Modern Residential Buildings in the UAE as a Means of Providing Thermal Comfort
منشور في 2014"…This research is an evaluation of the effectiveness of wind catchers as means of providing thermal comfort for modern residential buildings in the hot arid climates in the UAE. …"
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Influence of temperature on tire-pavement noise in hot climates: Qatar case
منشور في 2021"…There is an apparent trend of decreasing temperature coefficient with increasing mean texture depth of dense graded asphalt pavements. …"
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Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA
منشور في 2022"…As the imperfection increases by ten times, the rate decreases by more than 10%.</p><h2>Other Information</h2><p dir="ltr">Published in: IEEE Open Journal of the Communications Society<br>License: <a href="https://creativecommons.org/licenses/by/4.0/legalcode" target="_blank">https://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1109/ojcoms.2022.3165590" target="_blank">https://dx.doi.org/10.1109/ojcoms.2022.3165590</a></p>…"
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Morphological changes in amblyopic eyes in choriocapillaris and Sattler’s layer in comparison to healthy eyes, and in retinal nerve fiber layer in comparison to fellow eyes through...
منشور في 2021"…Purpose Establishing the reliability of a new method to check the mean retinal and choroidal reflectivity and using it to find retinal and choroid changes in amblyopia. …"
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Pavement Crack Assessment Using Satellite Remote Sensing and Deep Learning Model
منشور في 2025احصل على النص الكامل
doctoralThesis -
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Influence of temperature on tire-pavement noise in hot climates: Qatar case
منشور في 2021"…There is an apparent trend of decreasing temperature coefficient with increasing mean texture depth of dense graded asphalt pavements. …"
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Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects
منشور في 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. …"
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Shear performance of FRP Reinforced Deep Beams Made of Ultra High Performance Concrete (UHPC)
منشور في 2023احصل على النص الكامل
doctoralThesis -
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The effect of Dopamine Agonists on patients with advanced Parkinson's disease subjected to subthalamic deep brain stimulation. (c2000)
منشور في 2000"…The mean levodopa dose was reduced by 90% (p < 0.01), while the mean dopamine agonist dose was increased by 15% from preoperative level. …"
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masterThesis -
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Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation
منشور في 2023"…Deep RL is utilized to model the EV chargers and the EV users. …"
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Electric vehicles charging management using deep reinforcement learning considering vehicle-to-grid operation and battery degradation
منشور في 2023"…Deep RL is utilized to model the EV chargers and the EV users. …"
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FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults
منشور في 2024"…In practice, TSA based on deep learning is preferable for its high accuracy but often overlooks challenges in maintaining data privacy while coping with network topology changes. …"
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Combining Saliency with Prediction for Endoscopic Diagnosis
منشور في 2020احصل على النص الكامل
doctoralThesis -
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Investigating the impact of remittance outflows and oil price on economic growth in Gulf Cooperation Council countries
منشور في 2023"…This study utilizes the nonlinear augmented mean group method to explore the possible asymmetric impact of remittance outflows on economic growth in Gulf Cooperation Council (GCC) countries for the period of 2000–2019. …"
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Data-Efficient Wheat Disease Detection Using Shifted Window Transformer: Enhancing Accuracy, Sustainability, and Global Food Security
منشور في 2025"…This research presents a deep learning technique based on the Shifted Window (Swin) Transformer, a powerful attention-based model that effectively captures both local and global information for enhanced classification output. …"