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A review on magnetic sensors for monitoring of hazardous pollutants in water resources
Water resources have long been of interest to humans and have become a serious issue in
all aspects of human life. The disposal of hazardous pollutants in water resources is one of …
all aspects of human life. The disposal of hazardous pollutants in water resources is one of …
Magnetic-MXene-based nanocomposites for water and wastewater treatment: A review
An increase in the pollutants such as hazardous refractory contaminations, organic dyes,
pharmaceutical and pesticide contaminants which are widely disposed to water resources …
pharmaceutical and pesticide contaminants which are widely disposed to water resources …
A hybrid model for spatiotemporal forecasting of PM2. 5 based on graph convolutional neural network and long short-term memory
Increasing availability of data related to air quality from ground monitoring stations has
provided the chance for data mining researchers to propose sophisticated models for …
provided the chance for data mining researchers to propose sophisticated models for …
Spatio-temporal variation of ozone pollution risk and its influencing factors in China based on Geodetector and Geospatial models
Y Chen, H Li, H Karimian, M Li, Q Fan, Z Xu - Chemosphere, 2022 - Elsevier
Ozone (O 3) has become the primary pollutant in many cities, and high concentrations of O 3
cause significant harm to the ecological environment and human health. This study …
cause significant harm to the ecological environment and human health. This study …
Recent advancements in MXene-based nanocomposites as photocatalysts for hazardous pollutant degradation-A review
The recent expeditious industrialization and urbanization showcase the increasing need for
renewable and non-renewable energy and the severe environmental crisis. In this regard …
renewable and non-renewable energy and the severe environmental crisis. In this regard …
Evaluation of different machine learning approaches and aerosol optical depth in PM2. 5 prediction
H Karimian, Y Li, Y Chen, Z Wang - Environmental research, 2023 - Elsevier
Abstract Atmospheric Aerosol Optical Depth (AOD), derived from polar-orbiting satellites,
has shown potential in PM 2.5 predictions. However, this important source of data suffers …
has shown potential in PM 2.5 predictions. However, this important source of data suffers …
Prediction of atmospheric PM2.5 level by machine learning techniques in Isfahan, Iran
With increasing levels of air pollution, air quality prediction has attracted more attention.
Mathematical models are being developed by researchers to achieve precise predictions …
Mathematical models are being developed by researchers to achieve precise predictions …
A new hybrid deep neural network for multiple sites PM2. 5 forecasting
M Teng, S Li, J Yang, J Chen, C Fan, Y Ding - Journal of Cleaner …, 2024 - Elsevier
Many studies have confirmed that fine particulate matter (PM 2.5) poses significant hazards
to both human health and the ecological environment. Predicting future trends in PM 2.5 …
to both human health and the ecological environment. Predicting future trends in PM 2.5 …
DESA: a novel hybrid decomposing-ensemble and spatiotemporal attention model for PM2.5 forecasting
Exposure to fine particulate matter can easily lead to health issues. PM2. 5 concentrations
are associated with various spatiotemporal factors, which makes the prediction of PM2. 5 …
are associated with various spatiotemporal factors, which makes the prediction of PM2. 5 …
[HTML][HTML] Ozone concentration forecasting utilizing leveraging of regression machine learnings: A case study at Klang Valley, Malaysia
Abstract At Klang Valley, ground-level ozone is a significant source of air pollution. Ozone (O
3) concentration is affected by meteorological conditions and air pollutants. Linear …
3) concentration is affected by meteorological conditions and air pollutants. Linear …