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  1. 1

    Deep learning-based modeling of land use/land cover changes impact on land surface temperature in Greater Amman Municipality, Jordan (1980–2030) by Khaled F. Alkaraki (22051967)

    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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    Benefit and risk analysis of an automatic meter reading system for electricité du Liban by Ghajar, Raymond F.

    Published 2012
    “…This paper summarizes the benefit and risk analysis of a study for modernizing the electricity metering, billing and revenue collection systems for ´Electricit´e du Liban, the national power company of Lebanon. …”
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    Testing and Evaluation of a Smart Irrigation System Towards Smart Landscaping in UAE by Al Sulaimani, Fatma

    Published 2019
    “…The results observed from the experiment were that the use of smart irrigation system (SIS) has environmental advantages in the long term especially in terms of water consumption and irrigation management. …”
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  6. 6

    Testing and Evaluation of a Smart Irrigation System towards Smart landscaping in UAE by ALSULAIMANI, FATMA

    Published 2017
    “…The results observed from the experiment were that the use of smart irrigation system (SIS) have an environmental advantages in the long term especially in terms of water consumption and irrigation management. …”
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    Investigating the impact of a novel active gap metering signalization strategy on driver behavior at highway merging sections by Nora Reinolsmann (16931784)

    Published 2021
    “…Previous research has outlined the advantage of gap metering strategies to yield sufficient space to merging vehicles and improve highway capacity during peak hours. …”
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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... by Yasir E. Mohieldeen (22155901)

    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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    Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA by Muhammad Shehab (16904880)

    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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    Privacy-Preserving Fog Aggregation of Smart Grid Data Using Dynamic Differentially-Private Data Perturbation by Fawaz Kserawi (16904859)

    Published 2022
    “…Our experimental results show a possible decrease in data perturbation error by 51.7% and 61.2% for smart meters and fog-computing data aggregators perturbed data, respectively, compared to the commonly used Gaussian mechanism.…”
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    Analysis of Qatar's electricity landscape: Insights from load profiling, clustering, and policy recommendations by Haya Monawwar (14151168)

    Published 2024
    “…Global energy and environmental resource consumption have increased rapidly due to advances in production and transportation, leading to inefficient and wasteful use of resources. …”
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    Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects by Majdi Mansouri (16869885)

    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. …”
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    The effect of Dopamine Agonists on patients with advanced Parkinson's disease subjected to subthalamic deep brain stimulation. (c2000) by Jabre, Mazen Gerges

    Published 2000
    “…Dyskinesias, motor fluctuations, and levodopa-equivalent daily dose requirements decreased by 82.35%,82.14%, and 77%, respectively (p<O.OI). …”
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