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يعرض 21 - 40 نتائج من 218 نتيجة بحث عن '(((((( deep decrease ) OR ( memories decrease ))) OR ( trees decrease ))) OR ( mean decrease ))*', وقت الاستعلام: 0.12s تنقيح النتائج
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    Cooperative Caching Policy in Fog Computing for Connected Vehicles حسب Ghazleh, Ali

    منشور في 2023
    "…In this thesis, we implemented cooperation between a Deep Reinforcement Learning (DRL) model and Federated Learning to improve caching in Connected Vehicles connected to fog nodes. …"
    احصل على النص الكامل
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    احصل على النص الكامل
    masterThesis
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    A pathway to 25% reduction in greenhouse gas emission by 2030 using GIS-Based multi-criteria decision making for renewables, date palm (phoenix dactylifera), and carbon credits: a... حسب Hazrat Bilal (7367477)

    منشور في 2024
    "…It explores Qatar’s potential for renewable energy generation (solar and wind), carbon offset through planting trees, and the purchase of carbon offset credits. …"
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    The effect of Dopamine Agonists on patients with advanced Parkinson's disease subjected to subthalamic deep brain stimulation. (c2000) حسب Jabre, Mazen Gerges

    منشور في 2000
    "…The mean levodopa dose was reduced by 90% (p < 0.01), while the mean dopamine agonist dose was increased by 15% from preoperative level. …"
    احصل على النص الكامل
    احصل على النص الكامل
    masterThesis
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    Functional fatigue of Ni50.3Ti25Hf24.7 - Heterogeneities and evolution of local transformation strains حسب Abuzaid, Wael

    منشور في 2017
    "…Shape memory alloys achieve their unique and desirable property of large recoverable strains through phase transformation. …"
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    article
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    Delineating the molecular mechanisms of hippocampal neurotoxicity induced by chronic administration of synthetic cannabinoid AB-FUBINACA in mice حسب Ayman Alzu'bi (18192898)

    منشور في 2024
    "…These findings were found to be correlated with increased level of <u>oxidative stress, neuroinflammation,</u> and apoptosis markers, and reduced expression of brain-derived neurotrophic factor (BDNF), which plays an essential role in modulating <u>synaptic plasticity</u> integral for promoting learning and memory in the hippocampus. Additionally, we showed that AB-FUBINACA significantly decreased the expression of NR1, an important functional subunit of glutamate/NMDA receptors and closely implicated in the development of toxic psychosis. …"
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    Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction حسب Yassine Himeur (14158821)

    منشور في 2020
    "…The latter can not only reduce feature dimensionality, but it can also effectively decrease the intra-class distances and increase the extra-class distances of appliance features; and (iii) a powerful decision bagging tree classifier is implemented to accurately classify electrical devices using the reduced features. …"
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    Crystallization properties of arsenic doped GST alloys حسب Vinod E. Madhavan (8136774)

    منشور في 2019
    "…<p dir="ltr">We present the enhanced properties observed in the phase change memory alloy Ge<sub>2</sub>Sb<sub>2</sub>Te<sub>5</sub> (GST) when doped with arsenic. …"
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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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    Energy-Efficient Cell Association and Load Balancing for Low Battery Users in Heterogeneous Cellular Networks حسب Abdul Qadeer Khan (22502168)

    منشور في 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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