Assessing the Potential of Artificial Intelligence (Artificial Neural Networks) in Predicting the Spatiotemporal Pattern of Wildfire-Generated PM2.5 Concentration
Mirzaei, M.; Bertazzon, S.; Couloigner, I.; Farjad, B. Assessing the Potential of Artificial Intelligence (Artificial Neural Networks) in Predicting the Spatiotemporal Pattern of Wildfire-Generated PM2.5 Concentration. Geomatics 2021, 1, 18-33. https://0-doi-org.brum.beds.ac.uk/10.3390/geomatics1010003
Mirzaei M, Bertazzon S, Couloigner I, Farjad B. Assessing the Potential of Artificial Intelligence (Artificial Neural Networks) in Predicting the Spatiotemporal Pattern of Wildfire-Generated PM2.5 Concentration. Geomatics. 2021; 1(1):18-33. https://0-doi-org.brum.beds.ac.uk/10.3390/geomatics1010003
Chicago/Turabian StyleMirzaei, Mojgan; Bertazzon, Stefania; Couloigner, Isabelle; Farjad, Babak. 2021. "Assessing the Potential of Artificial Intelligence (Artificial Neural Networks) in Predicting the Spatiotemporal Pattern of Wildfire-Generated PM2.5 Concentration" Geomatics 1, no. 1: 18-33. https://0-doi-org.brum.beds.ac.uk/10.3390/geomatics1010003