Kees de Hoogh
0000-0001-5974-2007
9 papers found
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Land use regression modelling of NO2 in São Paulo, Brazil
Land use regression modelling of community noise in São Paulo, Brazil
A hybrid air pollution / land use regression model for predicting air pollution concentrations in Durban, South Africa
Development of Europe-Wide Models for Particle Elemental Composition Using Supervised Linear Regression and Random Forest
A Satellite-Based Spatio-Temporal Machine Learning Model to Reconstruct Daily PM2.5 Concentrations across Great Britain
Quantification of Annual Settlement Growth in Rural Mining Areas Using Machine Learning
The Role of Socioeconomic Status in the Association of Lung Function and Air Pollution—A Pooled Analysis of Three Adult ESCAPE Cohorts
Using Metal Ratios to Detect Emissions from Municipal Waste Incinerators in Ambient Air Pollution Data
LUR models for particulate matters in the Taipei metropolis with high densities of roads and strong activities of industry, commerce and construction
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