يعرض 161 - 180 نتائج من 1,607 نتيجة بحث عن '(( greater decrease ) OR ((( (tamer OR (time OR deep)) increase ) OR ( peer decrease ))))*', وقت الاستعلام: 0.13s تنقيح النتائج
  1. 161
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    Students Plugged: The Psychological Impact of Smart Devices Screen Time Exposure on Cognitive Concentration Skills in Primary School Students in Abu Dhabi حسب Shorouk Sobh

    منشور في 2025
    "…Increased engagement with entertainment and gaming content was linked to lower cognitive scores; in other words, screen time correlated with diminished cognitive concentration. …"
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  3. 163
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    The effect of graphene structural integrity on the power factor of tin selenide nanocomposite حسب Manal Alsalama (17316895)

    منشور في 2021
    "…The calculated power factor increases with the addition of graphene and with increasing graphene milling time. …"
  5. 165
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  7. 167

    Network Threat Detection Using Machine/Deep Learning in SDN-Based Platforms: A Comprehensive Analysis of State-of-the-Art Solutions, Discussion, Challenges, and Future Research Dir... حسب Naveed Ahmed (2433958)

    منشور في 2022
    "…Much work has been done on NIDS but there are still improvements needed in reducing false alarms and increasing threat detection accuracy. Recently advanced approaches such as deep learning (DL) and machine learning (ML) have been implemented in SDN-based NIDS to overcome the security issues within a network. …"
  8. 168
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    Synchronization in a higher-order neuronal network with blinking interactions حسب Parvathysankar Deivasundari (21841424)

    منشور في 2024
    "…Simultaneously, growing research interest focuses on uncovering synchronization dynamics in time-varying networks with time-dependent coupling structures, reflecting their prevalence in real-world systems like neuronal networks. …"
  10. 170

    A 2x2 space-time code for noncoherent ultra wideband (UWB) communication systems with M-PPM and energy detection. (c2016) حسب El Amine, Ali H.

    منشور في 2016
    "…Ultra-wideband (UWB) technology provides a bright solution to the over populated RF spectrum by allowing new communication systems to coexist with the present radio with almost no interference. In order to increase the capacity with UWB systems to achieve high data rates, the use of space-time coding (STC) with Multiple Input Multiple Output (MIMO) systems is considered. …"
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    masterThesis
  11. 171
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  14. 174
  15. 175

    Exploiting the Spatio-Temporal Patterns in IoT Data to Establish a Dynamic Ensemble of Distributed Learners حسب Mehdi Mohammadi (5024105)

    منشور في 2018
    "…This increase is 82% less than the 11.3 increase seen in the baseline model. …"
  16. 176

    Global time differences in road traffic injuries among children and adolescents between and 1990 and 2013: Regional and economical perspectives from global burden of diseases study حسب Uzma Rahim Khan (19794408)

    منشور في 2015
    "…To highlight changes over time in RTI mortality among children and adolescents VRU and non-VRU globally, by region, and by country income level between 1990 and 2013. …"
  17. 177

    Did the periodic intensification of routine immunisation strategy (Intensified mission Indradhanush) reduce the demand for pediatric antibiotic formulations in India? حسب Habib Hasan Farooqui (7861166)

    منشور في 2025
    "…<h3>Background</h3><p dir="ltr">Recent research has indicated an increase in antibiotic utilisation, particularly pediatric formulations. …"
  18. 178

    From Waste Reduction to Worker Comfort: Leveraging Lean Manufacturing and Ergonomics in Textiles Sewing Industries in UAE حسب ALAM, SAUD AMIR

    منشور في 2024
    "…By streamlining processes, reducing lead times, and increasing efficiency, organizations can produce more output with the same or fewer resources. …"
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  19. 179
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    Ensemble Stacking Model for Sentiment Analysis of Emirati and Arabic Dialects حسب A. Al Shamsi, Arwa

    منشور في 2023
    "…Then, an ensemble stacking model was introduced to combine the best-performing deep learning models used in this study. The ensemble stacking deep learning model consisted of deep learning models with a meta learner layer of classifiers. …"
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