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Showing 181 - 200 results of 382 for search '(( significant computation (increases OR increased) ) OR ( significantly impacts decrease ))*', query time: 0.11s Refine Results
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    A multi-targeted approach to identify potential flavonoids against three targets in the SARS-CoV-2 life cycle by Sanjay Kumar (8853)

    Published 2022
    “…By examining the effects of glycosylation and other structural-activity relationships, the presence of sugar moiety in flavonoids significantly reduces its binding energy. It increases the solubility of flavonoids leading to reduced toxicity and higher bioavailability. …”
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    5G Networks Security Mitigation Model: An ANN-ISM Hybrid Approach by Rafiq Ahmad Khan (5066180)

    Published 2025
    “…<p dir="ltr">The advent of Fifth-Generation (5G) networks has introduced significant security challenges due to increased complexity and diverse use cases. …”
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    Hyperspectral-physiological based predictive model for transpiration in greenhouses under CO<sub>2</sub> enrichment by Ikhlas Ghiat (16932564)

    Published 2023
    “…The results demonstrated the inclusion of hyperspectral-based vegetation indices significantly increased the performance of the three machine learning models in predicting transpiration. …”
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    Ensemble-Guard IoT: A Lightweight Ensemble Model for Real-Time Attack Detection on Imbalanced Dataset by Muhammad Usama Tanveer (22225360)

    Published 2024
    “…Ensemble learning by combining multiple machine learning models offers a significant advantage in reducing computational costs compared to deep learning models, making it a practical solution for real-time applications. …”
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    Cyber-Resilient Detection of Power Quality Events with NSCT and PCA-SVM by Sayanti Chatterjee (1311438)

    Published 2025
    “…<p dir="ltr">The increasing reliance on smart grids, coupled with the integration of renewable energy and growing cyber-physical interactions, has heightened the vulnerability of power systems to both power quality (PQ) disturbances and cyber-attacks. …”
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