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  1. 21

    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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  6. 26

    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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    State‐dependent control of breathing by the retrotrapezoid nucleus by Burke, Peter G. R.

    Published 2015
    “…Electroencephalogram, neck electromyogram, blood pressure, respiratory frequency (fR) and tidal volume (VT) were recorded in 28 conscious adult male Sprague–Dawley rats. …”
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    article
  14. 34

    Data-Efficient Wheat Disease Detection Using Shifted Window Transformer: Enhancing Accuracy, Sustainability, and Global Food Security by Muhammad Khubaib (22927822)

    Published 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. …”
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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.…”
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    Energy-Efficient Cell Association and Load Balancing for Low Battery Users in Heterogeneous Cellular Networks by Abdul Qadeer Khan (22502168)

    Published 2025
    “…This paper proposes improved cell association schemes based on the battery levels of UE and Deep Q-learning (DQL) to achieve load balancing and to decrease the power consumption of Low Battery Users (LBUs). …”
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    Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers by Mostafa Shibl (18810412)

    Published 2020
    “…<p dir="ltr">Coordinated charging of electric vehicles (EVs) improves the overall efficiency of the power grid as it avoids distribution system overloads, increases power quality, and decreases voltage fluctuations. Moreover, the coordinated charging supports flattening the load profile. …”
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    Carotid artery revascularization through a radiated field by Lesèche, Guy

    Published 2003
    “…Radiation-induced accelerated atherosclerosis has been recognized for some time.1, 2, 3 and 4 Because of the prolonged survival of patients treated with radiation,5 the frequency of this long-term side effect is expected to increase. In a prospective study, late (>70%) carotid artery stenosis was found in 11.7% of 240 patients who had undergone cervical irradiation.6 The chronic effects of radiation therapy lead to decreased vascularity and increased fibrosis, which in turn lead to risk for tissue necrosis, infection, and ulceration. …”
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  20. 40

    Behavior of axially loaded drilled shaft foundations with symmetric voids outside and inside the caging by Abishdid, Caesar

    Published 2014
    “…During the construction process, different types of anomalies such as necking, soft-bottom gap at the base, voids and soil intrusions can occur. …”
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    article