Cite
Optimizing sediment transport models by using the Monte Carlo simulation and deep neural network (DNN): A case study of the Riba-Roja reservoir.
MLA
Dehghan-Souraki, Danial, et al. “Optimizing Sediment Transport Models by Using the Monte Carlo Simulation and Deep Neural Network (DNN): A Case Study of the Riba-Roja Reservoir.” Environmental Modelling & Software, vol. 175, Apr. 2024, p. N.PAG. EBSCOhost, https://doi.org/10.1016/j.envsoft.2024.105979.
APA
Dehghan-Souraki, D., López-Gómez, D., Bladé-Castellet, E., Larese, A., & Sanz-Ramos, M. (2024). Optimizing sediment transport models by using the Monte Carlo simulation and deep neural network (DNN): A case study of the Riba-Roja reservoir. Environmental Modelling & Software, 175, N.PAG. https://doi.org/10.1016/j.envsoft.2024.105979
Chicago
Dehghan-Souraki, Danial, David López-Gómez, Ernest Bladé-Castellet, Antonia Larese, and Marcos Sanz-Ramos. 2024. “Optimizing Sediment Transport Models by Using the Monte Carlo Simulation and Deep Neural Network (DNN): A Case Study of the Riba-Roja Reservoir.” Environmental Modelling & Software 175 (April): N.PAG. doi:10.1016/j.envsoft.2024.105979.