| Assessing the importance of nitric acid and ammonia for particle growth in the polluted boundary layer
Marten, R., Xiao, M., Wang, M., Kong, W., He, X. C., Stolzenburg, D., … El Haddad, I. (2024). Assessing the importance of nitric acid and ammonia for particle growth in the polluted boundary layer. Environmental Science: Atmospheres, 4, 265-274. https://doi.org/10.1039/D3EA00001J |
| Modelling the gas-particle partitioning and water uptake of isoprene-derived secondary organic aerosol at high and low relative humidity
Amaladhasan, D. A., Heyn, C., Hoyle, C. R., El Haddad, I., Elser, M., Pieber, S. M., … Zuend, A. (2022). Modelling the gas-particle partitioning and water uptake of isoprene-derived secondary organic aerosol at high and low relative humidity. Atmospheric Chemistry and Physics, 22(1), 215-244. https://doi.org/10.5194/acp-22-215-2022 |
| Menschen zu Fuss und automatisiertes Fahren. Situationsbeurteilung anhand des automatisierten Einparkassistenten Oktober 2022
Zahnd, B., Baumberger, R., Perret, F., Morari, M., Bucheli, D., Hohl, C., & Elser, M. (2022). Menschen zu Fuss und automatisiertes Fahren. Situationsbeurteilung anhand des automatisierten Einparkassistenten Oktober 2022. EBP Schweiz AG. |
| Automated driving sensor testing vehicle. Automated Driving Sensor Testfahrzeug. Véhicule d'essai du capteur AD
Hohl, C., Milojevic, D., Elser, M., Zraggen, J., & Vulin, N. (2021). Automated driving sensor testing vehicle. Automated Driving Sensor Testfahrzeug. Véhicule d'essai du capteur AD. (Report No.: 1703). Eidgenössisches Departement für Umwelt, Verkehr, Energie und Kommunikation UVEK, Bundesamt für Strassen. |
| Robust vehicle classification based on deep features learning
Niroomand, N., Bach, C., & Elser, M. (2021). Robust vehicle classification based on deep features learning. IEEE Access, 9, 95675-95685. https://doi.org/10.1109/ACCESS.2021.3094366 |
| Segment-based CO<sub>2</sub> emission evaluations from passenger cars based on deep learning techniques
Niroomand, N., Bach, C., & Elser, M. (2021). Segment-based CO2 emission evaluations from passenger cars based on deep learning techniques. IEEE Access, 9, 166314-166327. https://doi.org/10.1109/ACCESS.2021.3135604 |
| Vehicle dimensions based passenger car classification using fuzzy and non-fuzzy clustering methods
Niroomand, N., Bach, C., & Elser, M. (2021). Vehicle dimensions based passenger car classification using fuzzy and non-fuzzy clustering methods. Transportation Research Record, 2675(10), 184-194. https://doi.org/10.1177/03611981211010795 |
| Predominance of secondary organic aerosol to particle-bound reactive oxygen species activity in fine ambient aerosol
Zhou, J., Elser, M., Huang, R. J., Krapf, M., Fröhlich, R., Bhattu, D., … Dommen, J. (2019). Predominance of secondary organic aerosol to particle-bound reactive oxygen species activity in fine ambient aerosol. Atmospheric Chemistry and Physics, 19(23), 14703-14720. https://doi.org/10.5194/acp-19-14703-2019 |
| Simulation of fine organic aerosols in the western Mediterranean area during the ChArMEx 2013 summer campaign
Cholakian, A., Beekmann, M., Colette, A., Coll, I., Siour, G., Sciare, J., … Dulac, F. (2018). Simulation of fine organic aerosols in the western Mediterranean area during the ChArMEx 2013 summer campaign. Atmospheric Chemistry and Physics, 18(10), 7287-7312. https://doi.org/10.5194/acp-18-7287-2018 |
| Size-segregated aerosol in a hot-spot pollution urban area: chemical composition and three-way source apportionment
Bernardoni, V., Elser, M., Valli, G., Valentini, S., Bigi, A., Fermo, P., … Vecchi, R. (2017). Size-segregated aerosol in a hot-spot pollution urban area: chemical composition and three-way source apportionment. Environmental Pollution, 231, 601-611. https://doi.org/10.1016/j.envpol.2017.08.040 |
| Organic aerosol source apportionment by offline-AMS over a full year in Marseille
Bozzetti, C., El Haddad, I., Salameh, D., Daellenbach, K. R., Fermo, P., Gonzalez, R., … Prévôt, A. S. H. (2017). Organic aerosol source apportionment by offline-AMS over a full year in Marseille. Atmospheric Chemistry and Physics, 17(13), 8247-8268. https://doi.org/10.5194/acp-17-8247-2017 |