Logothetis, S.-A.; Giannaklis, C.-P.; Salamalikis, V.; Tzoumanikas, P.; Raptis, P.-I.; Amiridis, V.; Eleftheratos, K.; Kazantzidis, A.
Retrieval of Aerosol Optical Properties via an All-Sky Imager and Machine Learning: Uncertainty in Direct Normal Irradiance Estimations. Environ. Sci. Proc. 2023, 26, 133.
https://doi.org/10.3390/environsciproc2023026133
AMA Style
Logothetis S-A, Giannaklis C-P, Salamalikis V, Tzoumanikas P, Raptis P-I, Amiridis V, Eleftheratos K, Kazantzidis A.
Retrieval of Aerosol Optical Properties via an All-Sky Imager and Machine Learning: Uncertainty in Direct Normal Irradiance Estimations. Environmental Sciences Proceedings. 2023; 26(1):133.
https://doi.org/10.3390/environsciproc2023026133
Chicago/Turabian Style
Logothetis, Stavros-Andreas, Christos-Panagiotis Giannaklis, Vasileios Salamalikis, Panagiotis Tzoumanikas, Panagiotis-Ioannis Raptis, Vassilis Amiridis, Kostas Eleftheratos, and Andreas Kazantzidis.
2023. "Retrieval of Aerosol Optical Properties via an All-Sky Imager and Machine Learning: Uncertainty in Direct Normal Irradiance Estimations" Environmental Sciences Proceedings 26, no. 1: 133.
https://doi.org/10.3390/environsciproc2023026133
APA Style
Logothetis, S.-A., Giannaklis, C.-P., Salamalikis, V., Tzoumanikas, P., Raptis, P.-I., Amiridis, V., Eleftheratos, K., & Kazantzidis, A.
(2023). Retrieval of Aerosol Optical Properties via an All-Sky Imager and Machine Learning: Uncertainty in Direct Normal Irradiance Estimations. Environmental Sciences Proceedings, 26(1), 133.
https://doi.org/10.3390/environsciproc2023026133
