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Showing 161 - 180 results of 382 for search '(( significant computational (increased OR increased) ) OR ( significantly impact decrease ))', query time: 0.10s Refine Results
  1. 161

    Intelligent scaling for 6G IoE services for resource provisioning by Abdullah Alharbi (4173502)

    Published 2021
    “…For 6G, more innovative technological resources are required to be handled by Mobile Edge Computing (MEC). Although the demand for change in service from different sectors, the increase in IoE, the limitation of available computing resources of MEC, and intelligent resource solutions are getting much more significant. …”
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    Privacy-preserving artificial intelligence in healthcare: Techniques and applications by Nazish Khalid (17685063)

    Published 2023
    “…<p>There has been an increasing interest in translating artificial intelligence (AI) research into clinically-validated applications to improve the performance, capacity, and efficacy of healthcare services. …”
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    Augmented Reality and its Applications in Education: A Systematic Survey by Fatima Zulfiqar (17019108)

    Published 2023
    “…<p dir="ltr">The use of technology, especially mobile phones, has significantly increased over the past few decades and has become an essential element in our daily lives. …”
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    UniBFS: A novel uniform-solution-driven binary feature selection algorithm for high-dimensional data by Behrouz Ahadzadeh (19757022)

    Published 2024
    “…Despite its importance, the constantly increasing search space of high-dimensional datasets poses significant challenges to FS methods, including issues like the "curse of dimensionality," susceptibility to local optima, and high computational and memory costs. …”
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    Integration of Smart Sensors in Buildings to achieve Energy Efficiency in Hot and Humid Climate by JABR, BILAL SUDQI SAEED

    Published 2021
    “…Most of the current buildings nowadays were built prior the evolution of significant technological advancements such as the internet of things (IoT). …”
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    A novel hybrid methodology for fault diagnosis of wind energy conversion systems by Khaled Dhibi (16891524)

    Published 2023
    “…The main idea behind using a hybrid feature selection step is to select a small subset from original data that can achieve maximum classification accuracy and reduce the computational complexity of the RF technique. Then, the sensitive and significant characteristics are transmitted to the RF model for classification purposes. …”
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