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decrease » increase (توسيع البحث)
يعرض 1 - 20 نتائج من 344 نتيجة بحث عن '(((( deep decrease ) OR ((( some decrease ) OR ( speek decrease ))))) OR ( mean decrease ))*', وقت الاستعلام: 0.12s تنقيح النتائج
  1. 1

    Production and investigation of flexible nanofibers of sPEEK/PVP loaded with RuO2 nanoparticles حسب Mariem Chamakh (14150481)

    منشور في 2021
    "…<p dir="ltr">Electrospinning technique was employed to fabricate composite nanofibers/nanoparticles of sulfonated polyether ether ketone, polyvinylpyrrolidone, and ruthenium oxide (sPEEK/PVP/RuO<sub>2</sub>). The samples were synthesized with different concentrations of hydrous ruthenium chloride of 2 wt%, 5 wt%, and 10 wt%, and then annealed at a temperature of 300 °C for 4 h to form the ruthenium oxide nanoparticles. …"
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    Integration of Wind Catchers in Modern Residential Buildings in the UAE as a Means of Providing Thermal Comfort حسب Riza, Raashid

    منشور في 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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    Decreased Interfacial Dynamics Caused by the N501Y Mutation in the SARS-CoV-2 S1 Spike:ACE2 Complex حسب Wesam S. Ahmed (10170053)

    منشور في 2022
    "…<p dir="ltr">Coronavirus Disease of 2019 (COVID-19) caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has resulted in a massive health crisis across the globe, with some genetic variants gaining enhanced infectivity and competitive fitness, and thus significantly aggravating the global health concern. …"
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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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    article
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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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    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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    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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    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. …"
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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 حسب Mohamed Massaoudi (16888710)

    منشور في 2024
    "…To avoid the constant adjustment of hyperparameters, the FLACON employs an inductive transfer learning approach for hyperparameter tuning of the pre-trained model, markedly decreasing training time. Extensive experiments on datasets from the IEEE 39-bus system and the IEEE 68-bus system demonstrate FLACON's exceptional accuracy of 98.98% compared to some competitive alternatives.…"
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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. …"