Showing 1 - 20 results of 9,129 for search '(((( cloud data increased ) OR ( ((a larger) OR (a laser)) decrease ))) OR ( _ largest decrease ))', query time: 0.85s Refine Results
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    Thematic clouds for lectures. by Ignacio García-Espona (21395335)

    Published 2025
    “…The USA featured the largest number of lecturers (69.44%), while the presentations of posters were more balanced among the 4 countries that exhibited the highest levels of production (i.e., Brazil, the USA, Mexico and South Korea). …”
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    Results obtained following a decrease in laser intensity by rotation of the Collison nebulizer. by Elliott Donghyun Kim (19469973)

    Published 2024
    “…<p>Results obtained following a decrease in laser intensity by rotation of the Collison nebulizer.…”
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    Thematic cloud for posters [2013-23]. by Ignacio García-Espona (21395335)

    Published 2025
    “…The USA featured the largest number of lecturers (69.44%), while the presentations of posters were more balanced among the 4 countries that exhibited the highest levels of production (i.e., Brazil, the USA, Mexico and South Korea). …”
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    Long COVID prevalence decreases with vaccine uptake in the U.S. by Manlio De Domenico (626037)

    Published 2023
    “…<p>(A) Prevalence in U.S. states and the U.S. exhibits a decreasing trend with respect to vaccine uptake, both in the population vaccinated with at least one dose (top) and two doses (bottom), with the largest gap between 100% vaccinated and 100% unvaccinated scenarios observed in the reference population of adults who had COVID-19. …”
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    Clustered land restoration projects increase cloud formation in West African Drylands by Jessica Ruijsch (13819234)

    Published 2025
    “…<p dir="ltr">This folder contains results corresponding to the manuscript 'Clustered land restoration projects increase cloud formation in West African drylands' by Jessica Ruijsch, Adriaan J. …”
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    Original point cloud. by Weilin Wu (13736)

    Published 2024
    “…The model training involves the introduction of different loss functions and a series of processing steps for lidar point cloud data. Subsequently, the perception information from lidar and vision sensors is fused to achieve synchronized processing of multi-task and multi-sensor data, thereby effectively improving the performance and reliability of the panoramic driving perception system. …”
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