de-Paz-Centeno, I.; GarcÃa-Ordás, M.T.; GarcÃa-Olalla, O.; Arenas, J.; Alaiz-Moretón, H.
M-SRPCNN: A Fully Convolutional Neural Network Approach for Handling Super Resolution Reconstruction on Monthly Energy Consumption Environments. Energies 2021, 14, 4765.
https://doi.org/10.3390/en14164765
AMA Style
de-Paz-Centeno I, GarcÃa-Ordás MT, GarcÃa-Olalla O, Arenas J, Alaiz-Moretón H.
M-SRPCNN: A Fully Convolutional Neural Network Approach for Handling Super Resolution Reconstruction on Monthly Energy Consumption Environments. Energies. 2021; 14(16):4765.
https://doi.org/10.3390/en14164765
Chicago/Turabian Style
de-Paz-Centeno, Iván, MarÃa Teresa GarcÃa-Ordás, Oscar GarcÃa-Olalla, Javier Arenas, and Héctor Alaiz-Moretón.
2021. "M-SRPCNN: A Fully Convolutional Neural Network Approach for Handling Super Resolution Reconstruction on Monthly Energy Consumption Environments" Energies 14, no. 16: 4765.
https://doi.org/10.3390/en14164765
APA Style
de-Paz-Centeno, I., GarcÃa-Ordás, M. T., GarcÃa-Olalla, O., Arenas, J., & Alaiz-Moretón, H.
(2021). M-SRPCNN: A Fully Convolutional Neural Network Approach for Handling Super Resolution Reconstruction on Monthly Energy Consumption Environments. Energies, 14(16), 4765.
https://doi.org/10.3390/en14164765