MartÃn-MartÃn, A.; Padial-Allué, R.; Castillo, E.; Parrilla, L.; Parellada-Serrano, I.; Morán, A.; GarcÃa, A.
Hardware Implementations of a Deep Learning Approach to Optimal Configuration of Reconfigurable Intelligence Surfaces. Sensors 2024, 24, 899.
https://doi.org/10.3390/s24030899
AMA Style
MartÃn-MartÃn A, Padial-Allué R, Castillo E, Parrilla L, Parellada-Serrano I, Morán A, GarcÃa A.
Hardware Implementations of a Deep Learning Approach to Optimal Configuration of Reconfigurable Intelligence Surfaces. Sensors. 2024; 24(3):899.
https://doi.org/10.3390/s24030899
Chicago/Turabian Style
MartÃn-MartÃn, Alberto, Rubén Padial-Allué, Encarnación Castillo, Luis Parrilla, Ignacio Parellada-Serrano, Alejandro Morán, and Antonio GarcÃa.
2024. "Hardware Implementations of a Deep Learning Approach to Optimal Configuration of Reconfigurable Intelligence Surfaces" Sensors 24, no. 3: 899.
https://doi.org/10.3390/s24030899
APA Style
MartÃn-MartÃn, A., Padial-Allué, R., Castillo, E., Parrilla, L., Parellada-Serrano, I., Morán, A., & GarcÃa, A.
(2024). Hardware Implementations of a Deep Learning Approach to Optimal Configuration of Reconfigurable Intelligence Surfaces. Sensors, 24(3), 899.
https://doi.org/10.3390/s24030899
