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Showing 81 - 100 results of 444 for search '(( significant (competition OR computational) increases ) OR ( significantly impacts decrease ))', query time: 0.11s Refine Results
  1. 81

    Efficient experimental design for uncertainty reduction in gene regulatory networks by Roozbeh Dehghannasiri (5725805)

    Published 2015
    “…In this paper, we propose a computationally efficient experimental design method. …”
  2. 82

    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... by Khreibi, Rima Abou

    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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    Global, regional, and national progress towards Sustainable Development Goal 3.2 for neonatal and child health: all-cause and cause-specific mortality findings from the Global Burd... by Katherine R Paulson (8674293)

    Published 2021
    “…NMR and U5MR were generally higher in males than in females, although there was no statistically significant difference at the global level. Neonatal disorders remained the leading cause of death in children younger than 5 years in 2019, followed by lower respiratory infections, diarrhoeal diseases, congenital birth defects, and malaria. …”
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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. …”
  15. 95

    Human Action Recognition: A Taxonomy-Based Survey, Updates, and Opportunities by Md Golam Morshed (19420537)

    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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    TIDCS: A Dynamic Intrusion Detection and Classification System Based Feature Selection by Zina Chkirbene (16869987)

    Published 2020
    “…Processing similar features that provide redundant information increases the computational time, which is a critical problem especially for users with constrained resources (battery, energy). …”