Showing 1 - 20 results of 319 for search '(( 59 ((mean decrease) OR (_ decrease)) ) OR ((( _ web decrease ) OR ( i et decrease ))))*', query time: 0.17s Refine Results
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    Dynamic workload patterns prediction for proactive auto-scaling of web applications by Iqbal W.

    Published 2018
    “…The framework is implemented and experimentally evaluated using historical access logs of three real web applications, each with increasing, decreasing, periodic, and randomly varying arrival rate behaviors. …”
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    Adaptive thermal comfort in the different buildings of Darjeeling Hills in eastern India – Effect of difference in elevation by Thapa, Samar

    Published 2018
    “…Whereas, the mean comfort temperature decreased with the elevation of the location and this difference was also statistically significant, t = −92.34 (df = 2607, p < 0.001). …”
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    Ocean Acidification and Carbonate System Geochemistry in the Arabian Gulf by Al-Thani, Jassem A.

    Published 2020
    “…Normalized NAlk and NDIC were calculated to remove the impact of increasing salinity. NAlk and NDIC decrease corresponding to a CaCO3/OrgC removal ratio of 2/1. …”
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    Global patterns and predictions of seafloor biomass using random forests by Wei, C.-L.

    Published 2010
    “…Lowest values are consistently encountered on the central abyssal plains of major ocean basins The shift of biomass dominance groups with depth is shown to be affected by the decrease in average body size rather than abundance, presumably due to decrease in quantity and quality of food supply. …”
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    The Structure of the Free Volume in Poly(styrene-co-acrylonitrile) from Positron Lifetime and Pressure Volume Temperature (PVT) Experiments by Dlubek, Gunter

    Published 2004
    “…The mean hole volume, vh, varies in PS between 105 Å3 (27 °C) and 220 Å3 (190 °C), and shows a systematic decrease with increasing AN content, at Tg from 121 Å3 for PS to 102 (±2) Å3 for SAN50. …”
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    Limiting the Rise in Core Temperature During a Rugby Sevens Warm-up With an Ice Vest. by Taylor, Lee

    Published 2019
    “…Athletes in VEST demonstrated a decrease in ΔTS (-1.59; ±0.72) and ΔTC (-1.63; ±0.73) pre- to post-warm-up, with a lower RPE post warm-up (-1.01; ±0.46), compared to CONTROL. …”
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    Estimating blood pressure from the photoplethysmogram signal and demographic features using machine learning techniques by Chowdhury, Moajjem H.

    Published 2020
    “…Gaussian process regression (GPR) along with the ReliefF feature selection algorithm outperforms other algorithms in estimating SBP and DBP with a root mean square error (RMSE) of 6.74 and 3.59, respectively. …”
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