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Optimized machine learning model for air quality index prediction in major cities in India
SK Natarajan, P Shanmurthy, D Arockiam… - Scientific Reports, 2024 - nature.com
Industrial advancements and utilization of large amount of fossil fuels, vehicle pollution, and
other calamities increases the Air Quality Index (AQI) of major cities in a drastic manner …
other calamities increases the Air Quality Index (AQI) of major cities in a drastic manner …
[HTML][HTML] Air pollutant prediction based on ARIMA-WOA-LSTM model
J Luo, Y Gong - Atmospheric Pollution Research, 2023 - Elsevier
The problem of air pollution has always plagued people's lives, and the management of air
pollution cannot be achieved without the prediction and assessment of the concentration of …
pollution cannot be achieved without the prediction and assessment of the concentration of …
State-of-art in modelling particulate matter (PM) concentration: A sco** review of aims and methods
Air pollution is the one of the most significant environmental risks to health worldwide. An
accurate assessment of population exposure would require a continuous distribution of …
accurate assessment of population exposure would require a continuous distribution of …
[HTML][HTML] Hazard susceptibility map** with machine and deep learning: a literature review
With the increase in climate-change-related hazardous events alongside population
concentration in urban centres, it is important to provide resilient cities with tools for …
concentration in urban centres, it is important to provide resilient cities with tools for …
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 …
A new perspective on air quality index time series forecasting: A ternary interval decomposition ensemble learning paradigm
Z Wang, R Gao, P Wang, H Chen - Technological Forecasting and Social …, 2023 - Elsevier
Accurate forecasting of the air quality index (AQI) plays a crucial role in taking precautions
against upcoming air pollution risks. However, air quality may fluctuate greatly in a certain …
against upcoming air pollution risks. However, air quality may fluctuate greatly in a certain …
Intrinsic and extrinsic techniques for quantification uncertainty of an interpretable GRU deep learning model used to predict atmospheric total suspended particulates …
Total suspended particulates (TSP), as a key pollutant, is a serious threat for air quality,
climate, ecosystems and human health. Therefore, measurements, prediction and …
climate, ecosystems and human health. Therefore, measurements, prediction and …
Predicting air quality index using attention hybrid deep learning and quantum-inspired particle swarm optimization
Air pollution poses a significant threat to the health of the environment and human well-
being. The air quality index (AQI) is an important measure of air pollution that describes the …
being. The air quality index (AQI) is an important measure of air pollution that describes the …
[HTML][HTML] ADNNet: Attention-based deep neural network for Air Quality Index prediction
Abstract The Air Quality Index (AQI) is a crucial indicator for assessing the degree of
atmospheric pollution. Accurately forecasting AQI is notably challenging due to the …
atmospheric pollution. Accurately forecasting AQI is notably challenging due to the …
Seasonal analysis of meteorological parameters and air pollutant concentrations in Kolkata: An evaluation of their relationship
Air pollution and climate change present formidable global challenges, particularly in India,
where the average PM 2. 5 concentration in 2022 surpassed the WHO annual guideline …
where the average PM 2. 5 concentration in 2022 surpassed the WHO annual guideline …