A guided genetic algorithm-based ensemble voting of polynomial regression and LSTM (GGA-PolReg-LSTM) for congestion prediction using IoT and air quality data in sustainable cities
Crossref DOI link: https://doi.org/10.1007/s11227-024-06186-7
Published Online: 2024-05-23
Published Print: 2024-09
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Jlifi, Boutheina
Medini, Mahdi
Duvallet, Claude
Text and Data Mining valid from 2024-05-23
Version of Record valid from 2024-05-23
Article History
Accepted: 3 May 2024
First Online: 23 May 2024
Declarations
:
: The authors declare that they have no conflict of interest.
: Not applicable.