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  1. 1

    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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    Deep Learning-Based Fault Diagnosis of Photovoltaic Systems: A Comprehensive Review and Enhancement Prospects by Majdi Mansouri (16869885)

    Published 2021
    “…These faults may affect the different system components such as PV modules, connection lines, converters/inverters, which can lead to a decrease in the efficiency, performance, and further system collapse. …”
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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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    masterThesis
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    FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults by Mohamed Massaoudi (16888710)

    Published 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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    A comparison of peer, teacher and self-feedback on the reduction of language errors in student essays by Diab, Nuwar Mawlawi

    Published 2016
    “…However, comparison of students' performance on lexical errors at the immediate post-test revealed that the self-feedback group significantly decreased this error percentage compared to the peer feedback group. …”
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    article
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    Coalition game theoretic P2P trading in a distribution network integrity-ensured local energy market by M., Imran Azim

    Published 2023
    “…This paper presents a peer-to-peer (P2P) trading-enabled local energy market (LEM) mechanism and analyses it in the Australian market context to verify its feasibility. …”
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    article
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    Integration of Wind Catchers in Modern Residential Buildings in the UAE as a Means of Providing Thermal Comfort by Riza, Raashid

    Published 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 by Okan, Sirin

    Published 2021
    “…There is an apparent trend of decreasing temperature coefficient with increasing mean texture depth of dense graded asphalt pavements. …”
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    article
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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... by Masri, Oussama Samer

    Published 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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    article
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    Influence of temperature on tire-pavement noise in hot climates: Qatar case by Okan Sirin (14603304)

    Published 2021
    “…There is an apparent trend of decreasing temperature coefficient with increasing mean texture depth of dense graded asphalt pavements. …”
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    Data-Efficient Wheat Disease Detection Using Shifted Window Transformer: Enhancing Accuracy, Sustainability, and Global Food Security by Muhammad Khubaib (22927822)

    Published 2025
    “…<p dir="ltr">Wheat is an essential crop that plays a vital role in global food security, but is susceptible to a variety of diseases, which have the potential to drastically decrease crop productivity. Detection of disease at an early stage and in an accurate manner is crucial to minimize crop losses. …”
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    Improving pediatric trauma care: an automated system for wrist trauma detection using GELAN by Promit Basak (22997776)

    Published 2025
    “…The results of our study highlight the capacity of deep learning to improve the diagnosis of pediatric trauma, decrease the burden on radiologists, and boost patient outcomes.…”