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competition » computation (Expand Search), composition (Expand Search), competitive (Expand Search)
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Efficient experimental design for uncertainty reduction in gene regulatory networks
Published 2015“…In this paper, we propose a computationally efficient experimental design method. …”
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An investigation into links between UAE STI Policy and the Federal Universities STEM Majors’ Enrolments, Graduates and Research Development: an evidence-based exploration of the im...
Published 2020“…HCT STEM majors’ graduates showed no significant differences from AY 2010 to the AY 2017; the latter shows that although STEM enrolments have increased in HCT, graduates of STEM are consistent and unchanged, meaning that somewhere during their tertiary education, students are not continuing their studies in STEM majors. …”
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Modeling the influence of daily temperature and precipitation extreme indices on vegetation dynamics in Katsina State using statistical downscaling model (SDM)
Published 2023“…<p>Climate change significantly impacts local, regional, and global vegetation changes. …”
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Human Action Recognition: A Taxonomy-Based Survey, Updates, and Opportunities
Published 2023“…A significant increase in feature learning-based representations for action recognition has emerged in recent years, due to the widespread use of deep learning-based features. …”
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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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Strain response of hot-mix asphalt overlays for bottom-up reflective cracking
Published 2017Get full text
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Mixed precision iterative refinement with adaptive precision sparse approximate inverse preconditioning
Published 2025“…Our numerical experiments show that this approach can potentially lead to a reduction in the cost of storing and applying sparse approximate inverse preconditioners, although a significant reduction in cost may comes at the expense of increasing the number of GMRES iterations required for convergence.…”