[PDF][PDF] Air quality prediction in Visakhapatnam with LSTM based recurrent neural networks
The research activity considered in this paper concerns about efficient approach for
modeling and prediction of air quality. Poor air quality is an environmental hazard that has …
modeling and prediction of air quality. Poor air quality is an environmental hazard that has …
Air quality modelling using long short-term memory (LSTM) over NCT-Delhi, India
Nowadays, monitoring and prediction of air quality parameters are becoming significantly
important research topics in the context of increasing urbanization and industrialization …
important research topics in the context of increasing urbanization and industrialization …
A novel deep learning approach to predict air quality index
In accordance with the World Health Organization's instruction, the air quality in Bangladesh
is considered perilous. A productive and precise air quality index (AQI) is a must and one of …
is considered perilous. A productive and precise air quality index (AQI) is a must and one of …
Forecasting of air quality using an optimized recurrent neural network
Clean air is necessary for leading a healthy life. Many respiratory illnesses have their root in
the poor quality of air across regions. Due to the tremendous impact of air quality on …
the poor quality of air across regions. Due to the tremendous impact of air quality on …
[PDF][PDF] Air Quality Predictions in Urban Areas Using Hybrid ARIMA and Metaheuristic LSTM.
Due to the development of transportation, population growth and industrial activities, air
quality has become a major issue in urban areas. Poor air quality leads to rising health …
quality has become a major issue in urban areas. Poor air quality leads to rising health …
[PDF][PDF] Time series based LSTM model to predict air pollutant's concentration for prominent cities in India
V Chaudhary, A Deshbhratar, V Kumar… - UDM …, 2018 - philippe-fournier-viger.com
Air pollution has been a major concern in India since last few years. Rapid industrialization
has led to tremendous increase in air pollution. Growing air pollution has led to an increase …
has led to tremendous increase in air pollution. Growing air pollution has led to an increase …
Deepairnet: Applying recurrent networks for air quality prediction
V Athira, P Geetha, R Vinayakumar… - Procedia computer science, 2018 - Elsevier
With the quick advancement of urbanization and industrialization, air pollution has become a
serious issue in developing countries. Governments and natives have raised their …
serious issue in developing countries. Governments and natives have raised their …
Application of data mining techniques on air pollution of Dhaka city
AS Chowdhury, MS Uddin, MR Tanjim… - 2020 IEEE 10th …, 2020 - ieeexplore.ieee.org
In recent times, the air quality level of Dhaka city has been termed as hazardous. The
weather of Dhaka city has gone through some drastic changes because of extreme air …
weather of Dhaka city has gone through some drastic changes because of extreme air …
Daily scale air quality index forecasting using bidirectional recurrent neural networks: Case study of Delhi, India
This research was established to accurately forecast daily scale air quality index (AQI) which
is an essential environmental index for decision-making. Researchers have projected …
is an essential environmental index for decision-making. Researchers have projected …
Air quality forecasting using LSTM RNN and wireless sensor networks
SV Belavadi, S Rajagopal, R Ranjani… - Procedia Computer …, 2020 - Elsevier
In the past few decades, many urban areas around the world have suffered from severe air
pollution and the health hazards that come with it, making gathering real-time air quality and …
pollution and the health hazards that come with it, making gathering real-time air quality and …