Results 11 to 20 of about 1,654,624 (346)
Estimation of missing values in aggregate level spatial data
Clinical Epidemiology and Global Health, 2021 Background: Data can be missing when a survey fails to collect information from certain regions due to feasibility issues, which can impose problems while performing spatial analysis.
Puranik Amitha, V.S. Binu, Biju Seena
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Correctly modeling plant-insect-herbivore-pesticide interactions as aggregate data
Mathematical Biosciences and Engineering, 2020 We consider a population dynamics model in investigating data from controlled experiments with aphids in broccoli patches surrounded by different margin types (bare or weedy ground) and three levels of insecticide spray (no, light, or heavy spray).
H. T. Banks +4 more
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, 2020 This deliverable provides information about the retrieval of data from resources relevant to past large-scale disasters and the aggregation of data coming from heterogeneous sources, such as smart glasses, smart helmets, drones, and sensors. As far as the past disasters are concerned, 23 relevant resources have been identified, thoroughly analysed, and
Vlachou, Vasiliki +18 more
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Efficient Aggregate Queries on Location Data with Confidentiality
Sensors, 2022 Location data have great value for facility location selection. Due to the privacy issues of both location data and user identities, a location service provider can not hand over the private location data to a business or a third party for analysis or ...
Da Feng +4 more
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Uber Movement Data: A Proxy for Average One-way Commuting Times by Car
ISPRS International Journal of Geo-Information, 2020 Recently, Uber released datasets named Uber Movement to the public in support of urban planning and transportation planning. To prevent user privacy issues, Uber aggregates car GPS traces into small areas.
Yeran Sun, Yinming Ren, Xuan Sun
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Hexadecimal Aggregate Approximation Representation and Classification of Time Series Data
Algorithms, 2021 Time series data are widely found in finance, health, environmental, social, mobile and other fields. A large amount of time series data has been produced due to the general use of smartphones, various sensors, RFID and other internet devices. How a time
Zhenwen He +3 more
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Mathematical Biosciences and Engineering, 2019 In this effort we explain fundamental formulations for aggregate data inverse problems requiring estimation of probability distribution parameters. We use as a motivating example a class of CAR T-call cancer models in mice.
Celia Schacht +4 more
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Privacy-Friendly Mobility Analytics using Aggregate Location Data [PDF]
, 2016 Location data can be extremely useful to study commuting patterns and disruptions, as well as to predict real-time traffic volumes. At the same time, however, the fine-grained collection of user locations raises serious privacy concerns, as this can ...
De Cristofaro, Emiliano +2 more
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Research on Characterization of 3D Morphology of Coarse Aggregate Based on Laser Scanning
Buildings, 2023 The morphology of coarse aggregate has a significant impact on the road performance of asphalt mixtures and aggregate characterization studies, but many studies were based on the two-dimensional morphology of coarse aggregate, which failed to consider ...
Jinbiao Song, Xinglin Zhou, Ruiqie Jiang
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Demographic Research, 2016 Background: Differences in demographic behaviours across countries and subnational regions have stimulated interest in studying the relationships between individual characteristics and the contexts in which individuals are embedded. Analytical approaches
Arianna Caporali +5 more
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