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Esparza-Gómez JM, Luque-Vega LF, Guerrero-Osuna HA, Carrasco-Navarro R, García-Vázquez F, Mata-Romero ME, Olvera-Olvera CA, Carlos-Mancilla MA, Solís-Sánchez LO. Long Short-Term Memory Recurrent Neural Network and Extreme Gradient Boosting Algorithms Applied in a Greenhouse’s Internal Temperature Prediction. Applied Sciences. 2023; 13(22):12341. https://doi.org/10.3390/app132212341

Esparza-Gómez, Juan M., Luis F. Luque-Vega, Héctor A. Guerrero-Osuna, Rocío Carrasco-Navarro, Fabián García-Vázquez, Marcela E. Mata-Romero, Carlos Alberto Olvera-Olvera, Miriam A. Carlos-Mancilla, and Luis Octavio Solís-Sánchez. 2023. "Long Short-Term Memory Recurrent Neural Network and Extreme Gradient Boosting Algorithms Applied in a Greenhouse’s Internal Temperature Prediction" Applied Sciences 13, no. 22: 12341. https://doi.org/10.3390/app132212341

Esparza-Gómez, J. M., Luque-Vega, L. F., Guerrero-Osuna, H. A., Carrasco-Navarro, R., García-Vázquez, F., Mata-Romero, M. E., Olvera-Olvera, C. A., Carlos-Mancilla, M. A., & Solís-Sánchez, L. O. (2023). Long Short-Term Memory Recurrent Neural Network and Extreme Gradient Boosting Algorithms Applied in a Greenhouse’s Internal Temperature Prediction. Applied Sciences, 13(22), 12341. https://doi.org/10.3390/app132212341