z-logo
open-access-imgOpen Access
Hybrid Deep Learning Enabled Air Pollution Monitoring in ITS Environment
Author(s) -
Ashit Kumar Dutta,
Jenyfal Sampson,
Sultan Ahmad,
T. Avudaiappan,
Kanagaraj Narayanasamy,
Irina V. Pustokhina,
Denis A. Pustokhin
Publication year - 2022
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.788
H-Index - 40
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2022.024109
Subject(s) - computer science , leverage (statistics) , hyperparameter , deep learning , artificial intelligence , air quality index , artificial neural network , population , machine learning , pollution , pollutant , convolutional neural network , air pollution , environmental science , simulation , real time computing , meteorology , ecology , physics , demography , sociology , biology , chemistry , organic chemistry

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom