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Showing 21 - 40 results of 246 for search '(((((( deep decrease ) OR ( societies decrease ))) OR ( tries decrease ))) OR ( mean decrease ))*', query time: 0.13s Refine Results
  1. 21

    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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    Mortality and socio-economic outcomes among patients hospitalized for stroke and diabetes in the US: a recent analysis from the National Inpatient Sample by Aya Tabbalat (14150019)

    Published 2021
    “…In those patients, the mean (SD) age slightly decreased from 70 (13) years to 69 (13) years (p-trend < 0.001). …”
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    The Triple “S” Impact of COVID-19: Nationwide Evidence of the Impact of the Stress Associated With Restrictive Measures on Substance Use, Sleep, and Social Connectedness in Qatar... by Muna Abed Alah (18171346)

    Published 2023
    “…Of tobacco users in our sample, 36% reported increased tobacco use since the start of home confinement, while 41.6% of alcohol users reported decreased alcohol use. Concerning sleep, 46.1% reported an increase in average sleep duration per day (0.77 h mean increase, 95% CI: 0.66-0.88, P<0.001), and a third of participants reported poorer sleep quality. …”
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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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