[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 …
[HTML][HTML] Hazard Susceptibility Mapping with Machine and Deep Learning: A Literature Review
AJ Pugliese Viloria, A Folini, D Carrion, MA Brovelli - Remote Sensing, 2024 - mdpi.com
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 …
State-of-art in modelling particulate matter (PM) concentration: a scoping 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 …
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 …
Machine learning-based white-box prediction and correlation analysis of air pollutants in proximity to industrial zones
The adverse health effects caused by long-term exposure to high pollution volumes from
industries near urban areas are a growing concern. Determining accurate distribution …
industries near urban areas are a growing concern. Determining accurate distribution …
Incorporating deep learning predictions to assess the water-energy-food nexus security
AY Raya-Tapia, FJ López-Flores… - Environmental Science & …, 2023 - Elsevier
Water, energy and food (WEF) are experiencing significant stress due to an increase in their
demand and scarcity, and this situation will worsen in the coming years. For this reason, this …
demand and scarcity, and this situation will worsen in the coming years. For this reason, this …
A long-term prediction method for PM2. 5 concentration based on spatiotemporal graph attention recurrent neural network and grey wolf optimization algorithm
C Zhang, S Wang, Y Wu, X Zhu, W Shen - Journal of Environmental …, 2024 - Elsevier
With the rapid advancement of global industrialization and urbanization, the problem of air
pollution, primarily attributed to PM 2.5, as the main component has become increasingly …
pollution, primarily attributed to PM 2.5, as the main component has become increasingly …
[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 …
Intrinsic and extrinsic techniques for quantification uncertainty of an interpretable GRU deep learning model used to predict atmospheric total suspended particulates …
H Gholami, A Mohammadifar, RD Behrooz… - Environmental …, 2024 - Elsevier
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 …
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 …