TY  - JOUR 
AU  - González Enrique, Francisco Javier
AU  - Ruiz Aguilar, Juan Jesús
AU  - Moscoso López, José Antonio
AU  - Urda Muñoz, Daniel
AU  - Deka, Lipika
AU  - Turias Domínguez, Ignacio J.
PY  - 2021
UR  - http://hdl.handle.net/10259/7233
AB  - This study aims to produce accurate predictions of the NO2 concentrations at a specific
station of a monitoring network located in the Bay of Algeciras (Spain). Artificial neural networks
(ANNs) and sequence-to-sequence long short-term memory...
LA  - eng
PB  - MDPI
KW  - Forecasting
KW  - Feature selection
KW  - Air pollution
KW  - Nitrogen dioxide
KW  - Artificial neural networks
KW  - LSTMs
KW  - Exogenous variables
KW  - Deep learning
KW  - Time series
KW  - Informática
KW  - Computer science
TI  - Artificial Neural Networks, Sequence-to-Sequence LSTMs, and Exogenous Variables as Analytical Tools for NO2 (Air Pollution) Forecasting: A Case Study in the Bay of Algeciras (Spain)
DO  - 10.3390/s21051770
T2  - Sensors
VL  - 21
ER  -