Daviran, M., Masoumi, I., Ghezelbash, R., Maggio, S., & De Iaco, S. (2025). Machine learning-based mapping of indoor radon potential using geogenic factors. Environmental and Ecological Statistics, 1-36. https://doi.org/10.1007/s10651-025-00665-7
ISO-690 (author-date, English)DAVIRAN, Mehrdad, MASOUMI, Iman, GHEZELBASH, Reza, MAGGIO, Sabrina und DE IACO, Sandra, 2025. Machine learning-based mapping of indoor radon potential using geogenic factors. Environmental and Ecological Statistics. 14 Juni 2025. P. 1-36. DOI 10.1007/s10651-025-00665-7.
Modern Language Association 9th editionDaviran, M., I. Masoumi, R. Ghezelbash, S. Maggio, und S. De Iaco. „Machine Learning-Based Mapping of Indoor Radon Potential Using Geogenic Factors“. Environmental and Ecological Statistics, Juni 2025, S. 1-36, https://doi.org/10.1007/s10651-025-00665-7.
Mohr Siebeck - Recht (Deutsch - Österreich)Daviran, Mehrdad/Masoumi, Iman/Ghezelbash, Reza/Maggio, Sabrina/De Iaco, Sandra: Machine learning-based mapping of indoor radon potential using geogenic factors, Environmental and Ecological Statistics 2025, 1-36.
Emerald - HarvardDaviran, M., Masoumi, I., Ghezelbash, R., Maggio, S. und De Iaco, S. (2025), „Machine learning-based mapping of indoor radon potential using geogenic factors“, Environmental and Ecological Statistics, S. 1-36.