American Psychological Association 6th edition

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 and DE IACO, Sandra, 2025. Machine learning-based mapping of indoor radon potential using geogenic factors. Environmental and Ecological Statistics. 14 June 2025. P. 1-36. DOI 10.1007/s10651-025-00665-7.

Modern Language Association 9th edition

Daviran, M., I. Masoumi, R. Ghezelbash, S. Maggio, and S. De Iaco. “Machine Learning-Based Mapping of Indoor Radon Potential Using Geogenic Factors”. Environmental and Ecological Statistics, June 2025, pp. 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 - Harvard

Daviran, M., Masoumi, I., Ghezelbash, R., Maggio, S. and De Iaco, S. (2025), “Machine learning-based mapping of indoor radon potential using geogenic factors”, Environmental and Ecological Statistics, pp. 1-36.

Warning: These citations may not always be 100% accurate.