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A case study application of machine-learning for the detection of greenhouse gas emission sources
Shaw, J. T., Allen, G., Topping, D., Grange, S. K., Barker, P., Pitt, J., & Ward, R. S. (2022). A case study application of machine-learning for the detection of greenhouse gas emission sources. Atmospheric Pollution Research, 13(10), 101563 (9 pp.). https://doi.org/10.1016/j.apr.2022.101563
Validation de la méthode des gaz traceurs pour mesurer les émissions en cas de ventilation naturelle
Schrade, S., Zeyer, K., Keck, M., Keller, M., Zähner, M., & Mohn, J. (2018). Validation de la méthode des gaz traceurs pour mesurer les émissions en cas de ventilation naturelle. Recherche Agronomique Suisse, 9(10), 340-347.
Validierung der Tracer-Ratio-Methode für Emissionsmessungen bei freier Lüftung
Schrade, S., Zeyer, K., Keck, M., Keller, M., Zähner, M., & Mohn, J. (2018). Validierung der Tracer-Ratio-Methode für Emissionsmessungen bei freier Lüftung. Agrarforschung Schweiz, 9(10), 340-347.
Hot-recycling of tar-containing asphalt pavements, Emission measurements in the laboratory and in the field
Hugener, M., Emmenegger, L., & Mattrel, P. (2010). Hot-recycling of tar-containing asphalt pavements, Emission measurements in the laboratory and in the field. Road Materials and Pavement Design, 11(1), 29-46. https://doi.org/10.1080/14680629.2010.9690258