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computation » computational (Expand Search)
increased » increase (Expand Search)
impacts » impact (Expand Search)
decrease » increase (Expand Search)
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A multi-targeted approach to identify potential flavonoids against three targets in the SARS-CoV-2 life cycle
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
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
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
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
Published 2025“…The proposed NSCT-PCA- SVM approach represents a significant step forward in ensuring secure and reliable smart grid operations.…”
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