[HTML][HTML] Enhancing PM2.5 Prediction Using NARX-Based Combined CNN and LSTM Hybrid Model
In a world where humanity's interests come first, the environment is flooded with pollutants
produced by humans' urgent need for expansion. Air pollution and climate change are side …
produced by humans' urgent need for expansion. Air pollution and climate change are side …
[HTML][HTML] 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 …
Unraveling the Prediction of Fine Particulate Matter over Jaipur, India using Long Short-Term Memory Neural Network
Fine particulate matter (PM2. 5) is a perilous air pollutant for human health, especially when
present at high airborne concentrations. The national clean air program (NCAP) aims at a …
present at high airborne concentrations. The national clean air program (NCAP) aims at a …
Air pollution prediction by deep learning model
S Jeya, L Sankari - 2020 4th International Conference on …, 2020 - ieeexplore.ieee.org
The impact of harmful pollutants in the air on human health is a vast area of research,
preventing or controlling, and also monitoring the pollutant is the huge responsibility of any …
preventing or controlling, and also monitoring the pollutant is the huge responsibility of any …
[HTML][HTML] Analytical equations based prediction approach for PM2. 5 using artificial neural network
The worldwide, particulate matter pollution is considered one of the deadliest types of air
pollution due to its significant impact on the global environment and human health. The …
pollution due to its significant impact on the global environment and human health. The …
[HTML][HTML] A Deep CNN-LSTM Model for Particulate Matter (PM2.5) Forecasting in Smart Cities
In modern society, air pollution is an important topic as this pollution exerts a critically bad
influence on human health and the environment. Among air pollutants, Particulate Matter …
influence on human health and the environment. Among air pollutants, Particulate Matter …
PM2. 5 air pollution prediction through deep learning using meteorological, vehicular, and emission data: A case study of New Delhi, India
Abstract Particulate matter (PM 2.5) concentration is an air pollutant that can lead to serious
health complications in humans. The detection of this air pollutant is essential so that …
health complications in humans. The detection of this air pollutant is essential so that …
Air Pollution Forecasting Using Deep Learning.
M Alghieth, R Alawaji, SH Saleh… - International Journal of …, 2021 - search.ebscohost.com
Nowadays, air pollution is getting an extreme problem that affects the whole environment.
Due to the dangerous effects of air pollution on human's health, this study proposes an air …
Due to the dangerous effects of air pollution on human's health, this study proposes an air …
Automated neural network forecast of PM concentration
Abstract Particulate Matter 2.5 (PM2. 5) is a major contributor to air pollution and its
exposure has substantial health consequences. As a result, precise prediction of PM2. 5 …
exposure has substantial health consequences. As a result, precise prediction of PM2. 5 …
[PDF][PDF] Multi-Site Air Pollutant Prediction Using Long Short Term Memory.
C Paulpandi, M Chinnasamy… - … Systems Science & …, 2022 - cdn.techscience.cn
The current pandemic highlights the significance and impact of air pollution on individuals.
When it comes to climate sustainability, air pollution is a major challenge. Because of the …
When it comes to climate sustainability, air pollution is a major challenge. Because of the …