Air pollution prediction using LSTM deep learning and metaheuristics algorithms

Air pollution prediction using LSTM deep learning and metaheuristics algorithms

Air pollution is a leading cause of health concerns and climate change, one of humanity's most dangerous problems. This problem has been exacerbated by an overabundance of automobiles, industrial output pollution, transportation fuel consumption, and energy generation. As a result, air pollutio...

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Bibliographic Details
Main Authors:	Ghufran Isam Drewil, Riyadh Jabbar Al-Bahadili
Format:	Article
Language:	English
Published:	Elsevier 2022-12-01
Series:	Measurement: Sensors
Subjects:	Deep learning Long short-term memory (LSTM) Genetic algorithm (GA) Time series data Air pollution
Online Access:	http://www.sciencedirect.com/science/article/pii/S2665917422001805

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