Showing 401 - 420 results of 1,771 for search '(( 7 10 decrease ) OR ( 10 ((peer decrease) OR (((nn decrease) OR (a decrease)))) ))*', query time: 0.23s Refine Results
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    Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021 by Stein Emil, Vollset

    Published 2024
    “…In the assessment of alternative future scenarios, the combined effects of the scenarios (Safer Environment, Improved Childhood Nutrition and Vaccination, and Improved Behavioural and Metabolic Risks scenarios) demonstrated an important decrease in the global burden of DALYs in 2050 of 15·4% (13·5–17·5) compared with the reference scenario, with decreases across super-regions ranging from 10·4% (9·7–11·3) in the high-income super-region to 23·9% (20·7–27·3) in north Africa and the Middle East. …”
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  7. 407

    Burden of disease scenarios for 204 countries and territories, 2022–2050: a forecasting analysis for the Global Burden of Disease Study 2021 by Stein Emil, Vollset

    Published 2024
    “…In the assessment of alternative future scenarios, the combined effects of the scenarios (Safer Environment, Improved Childhood Nutrition and Vaccination, and Improved Behavioural and Metabolic Risks scenarios) demonstrated an important decrease in the global burden of DALYs in 2050 of 15·4% (13·5–17·5) compared with the reference scenario, with decreases across super-regions ranging from 10·4% (9·7–11·3) in the high-income super-region to 23·9% (20·7–27·3) in north Africa and the Middle East. …”
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    Quantification of pv power and economic losses due to soiling in Qatar by Zeedan A.

    Published 2021
    “…For example, for the Al-Kharasaah project power plant, similar soiling loss would result in about a 10% power decrease after six months for typical ranges of dust density in Qatar’s environment; this, in turn, would result in an 11,000 QAR/h financial loss. …”
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    RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database by Al-Sa'd M.F.

    Published 2019
    “…Averaged accuracy has decreased from 99.7% for the first DNN (2-classes), to 84.5% for the second DNN (4-classes), and lastly, to 46.8% for the third DNN (10-classes). …”
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  17. 417

    RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database by Al-Sa'd, Mohammad F.

    Published 2019
    “…Averaged accuracy has decreased from 99.7% for the first DNN (2-classes), to 84.5% for the second DNN (4-classes), and lastly, to 46.8% for the third DNN (10-classes). …”
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