Spatiotemporal ozone pollution LUR models: Suitable statistical algorithms and time scales for a megacity scale
Sign Up to like & getrecommendations! Published in 2020 at "Atmospheric Environment"
DOI: 10.1016/j.atmosenv.2020.117671
Abstract: Abstract Ambient air ozone (O3), a secondary photochemical pollutant, is seriously harmful to human health. Accurate estimation of O3 exposure requires the ability to monitor O3 surface concentration with a high spatiotemporal resolution. Several spatiotemporal… read more here.
Keywords: statistical algorithms; pollution; time; lur models ... See more keywords
Estimation of Multi-Frequency, Multi-Incidence and Multi-Polarization Backscattering Coefficients over Bare Agricultural Soil Using Statistical Algorithms
Sign Up to like & getrecommendations! Published in 2023 at "Applied Sciences"
DOI: 10.3390/app13084893
Abstract: In the last decade, many SAR missions have been launched to reinforce the all-weather observation capacity of the Earth. The precise modeling of radar signals becomes crucial in order to translate them into essential biophysical… read more here.
Keywords: bare agricultural; backscattering coefficients; incidence; statistical algorithms ... See more keywords
Statistical Deadband: A Novel Approach for Event-Based Data Reporting
Sign Up to like & getrecommendations! Published in 2019 at "Informatics"
DOI: 10.3390/informatics6010005
Abstract: Deadband algorithms are implemented inside industrial gateways to reduce the volume of data sent across different networks. By tuning the deadband sampling resolution by a preset interval Δ , it is possible to estimate the… read more here.
Keywords: deadband novel; deadband; deadband algorithms; statistical deadband ... See more keywords