يعرض 1 - 20 نتائج من 167 نتيجة بحث عن '(((((( deep decrease ) OR ( smart decrease ))) OR ( amir decrease ))) OR ( mean decrease ))*', وقت الاستعلام: 0.12s تنقيح النتائج
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    Influence of temperature on tire-pavement noise in hot climates: Qatar case حسب Okan, Sirin

    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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    The Effect of Number of Corrugation on Crashworthiness of Aluminum Corrugated Tube under Lateral Loading حسب Hozhabr Mozafari (18891892)

    منشور في 2017
    "…The results show that tubes with corrugations have a higher mean crushing force which is directly proportional to the number of corrugations. …"
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    Influence of temperature on tire-pavement noise in hot climates: Qatar case حسب Okan Sirin (14603304)

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

    منشور في 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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    Deep Reinforcement Learning Powered IRS-Assisted Downlink NOMA حسب Muhammad Shehab (16904880)

    منشور في 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 حسب Majdi Mansouri (16869885)

    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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    FLACON: A Deep Federated Transfer Learning-Enabled Transient Stability Assessment During Symmetrical and Asymmetrical Grid Faults حسب Mohamed Massaoudi (16888710)

    منشور في 2024
    "…This article proposes an innovative focal loss-based multihead attention convolutional network (FLACON) for accurate post-disturbance TSA under both symmetrical and asymmetrical smart grid faults. The proposed approach effectively incorporates cross-domain deep federated transfer learning (FTL) to leverage local operating data for TSA in a decentralized fashion. …"
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    Machine Learning-Based Management of Electric Vehicles Charging: Towards Highly-Dispersed Fast Chargers حسب Mostafa Shibl (18810412)

    منشور في 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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    The impact of climatic conditions on the carcinogenic and non-carcinogenic risk of BTEX compounds: A systematic review and meta-analysis حسب Amir Hossein Khoshakhlagh (15989705)

    منشور في 2024
    "…These results can be used by policymaking to focus on decreasing exposure to BTEX, particularly in climatic conditions with higher hazards.…"
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    Data-Efficient Wheat Disease Detection Using Shifted Window Transformer: Enhancing Accuracy, Sustainability, and Global Food Security حسب Muhammad Khubaib (22927822)

    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. …"
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    Improving pediatric trauma care: an automated system for wrist trauma detection using GELAN حسب Promit Basak (22997776)

    منشور في 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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