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
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