RT Journal Article
T1 Indoor air quality analysis using recurrent neural networks: a case study of environmental variables
A1 Reyes Pérez, Carlos A.
A1 Iglesias Martínez, Miguel Enrique
A1 Guerra Carmenate, José
A1 Michinel Álvarez, Humberto Javier
A1 Balvís Outeiriño, Eduardo
A1 Giménez Palomares, Fernando
A1 Fernández de Córdoba, Pedro
K1 3311 Tecnología de la Instrumentación
AB In the pursuit of energy efficiency and reduced environmental impact, adequate ventilation in enclosed spaces is essential. This study presents a hybrid neural network model designed for monitoring and prediction of environmental variables. The system comprises two phases: An IoT hardware–software platform for data acquisition and decision-making and a hybrid model combining short-term memory and convolutional recurrent structures. The results are promising and hold potential for integration into parallel processing AI architectures.
PB Mathematics
SN 22277390
YR 2023
FD 2023-12-05
LK http://hdl.handle.net/11093/6503
UL http://hdl.handle.net/11093/6503
LA eng
NO Mathematics, 11(24): 4872 (2023)
DS Investigo
RD 25-abr-2025