Spatio-Temporal Exposure Control. An investigation of spatial home control and location privacy preserving issues. Geir M. K~ien and Vladiinir A. Oleshchuk.
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Nov 14, 2019 · ShutterApp enables users to define spatio-temporally-varying virtual shutters that go beyond the options available in real-world camera systems.
Spatiotemporal models are a class of statistical models that explicitly account for the spatial and/or temporal correlation in data.
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The paper simulates the spatial variations in the sources of, and exposure to, traffic-related PM10 emissions for the city of Vienna, Austria.
In the ambient environment, Dr. Koehler is interested in spatiotemporal exposure assessment by pairing direct-reading instruments with a GPS unit to ...
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Sensor-based air monitoring instruments (SAMIs) can provide high-resolution air quality data by offering a detailed mapping of areas that air quality ...
Apr 28, 2022 · Our study supports the combined use of different air pollution exposure assessment methods in a single modeling framework to improve the ...
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High-resolution spatial and spatiotemporal modelling of air ...
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The development of high-resolution spatial and spatiotemporal models of air pollutants is essential for exposure science and epidemiological applications.
Oct 24, 2023 · This study uses land-use random forest models to estimate daily-average ambient PM 2.5 concentrations in Allegheny County, USA.
Nov 2, 2021 · ShutterApp enables users to define spatio-temporally-varying virtual shutters that go beyond the options available in real-world camera systems.