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Showing 141 - 160 results of 382 for search '(( significant computational (increased OR increased) ) OR ( significantly impact decrease ))', query time: 0.11s Refine Results
  1. 141

    Artificial Intelligence for Detecting and Quantifying Fatty Liver in Ultrasound Images: A Systematic Review by Fahad Muflih Alshagathrh (18427950)

    Published 2022
    “…According to the qualitative analysis, AI significantly enhanced the diagnosis of NAFLD, Non-Alcoholic Steatohepatitis (NASH), and liver fibrosis. …”
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    Dimensional and positional temporomandibular joint osseous characteristics in normodivergent facial patterns with and without temporomandibular disorders by Maged S. Alhammadi (14150757)

    Published 2023
    “…Three-dimensional positional and dimensional temporomandibular joint characteristics, including glenoid fossa, mandibular condyles, and joint spaces, were assessed by cone beam computed tomography.</p><h3>Results</h3><p dir="ltr">The glenoid fossa positions in the three orthogonal planes and height showed statistical significance between the two studied groups. …”
  4. 144

    The use of multi-task learning in cybersecurity applications: a systematic literature review by Shimaa Ibrahim (22155739)

    Published 2024
    “…<p dir="ltr">Cybersecurity is crucial in today’s interconnected world, as digital technologies are increasingly used in various sectors. The risk of cyberattacks targeting financial, military, and political systems has increased due to the wide use of technology. …”
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    Internet of everything meets the metaverse: Bridging physical and virtual worlds with blockchain by Wajid Rafique (19757058)

    Published 2024
    “…However, despite substantial advancements in related fields, there remains a significant gap in comprehensive surveys that address the integration of AI/ML, 6G, and blockchain in the Metaverse. …”
  9. 149

    Psychological inoculation against problematic social media use among adolescents: An experimental study by Sameha Alshakhsi (17032311)

    Published 2025
    “…The passive inoculation group showed a significant decrease in deception only. No changes were observed in the control group. …”
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    Tamp-X: Attacking explainable natural language classifiers through tampered activations by Hassan Ali (3348749)

    Published 2022
    “…Recently Explainable Artificial Intelligence (XAI) methods have been proposed as a method for increasing DNN’s reliability and trustworthiness. These XAI methods are however open to attack and can be manipulated in both white-box (gradient-based) and black-box (perturbation-based) scenarios. …”
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