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[HTML][HTML] Artificial intelligence technologies for forecasting air pollution and human health: a narrative review
Air pollution is a major issue all over the world because of its impacts on the environment
and human beings. The present review discussed the sources and impacts of pollutants on …
and human beings. The present review discussed the sources and impacts of pollutants on …
Towards integrated air pollution monitoring and health impact assessment using federated learning: a systematic review
Environmental issues such as environmental pollutions and climate change are the impacts
of globalization and become debatable issues among academics and industry key players …
of globalization and become debatable issues among academics and industry key players …
Artificial intelligence-assisted air quality monitoring for smart city management
Background The environment has been significantly impacted by rapid urbanization, leading
to a need for changes in climate change and pollution indicators. The 4IR offers a potential …
to a need for changes in climate change and pollution indicators. The 4IR offers a potential …
[HTML][HTML] Continuous-time Hammerstein model identification utilizing hybridization of Augmented Sine Cosine Algorithm and Game-Theoretic approach
The widespread use of dynamic systems has greatly simplified various human-operated
tasks. However, the complex and nonlinear nature of these systems has posed challenges …
tasks. However, the complex and nonlinear nature of these systems has posed challenges …
Application of artificial intelligence in air pollution monitoring and forecasting: A systematic review
Air pollution poses a significant global health hazard. Effective monitoring and predicting air
pollutant concentrations are crucial for managing associated health risks. Recent …
pollutant concentrations are crucial for managing associated health risks. Recent …
Revisiting the importance of temperature, weather and air pollution variables in heat-mortality relationships with machine learning
Extreme heat events have significant health impacts that need to be adequately quantified in
the context of climate change. Traditionally, heat-health association methods have relied on …
the context of climate change. Traditionally, heat-health association methods have relied on …
[PDF][PDF] An optimized artificial neural network model using genetic algorithm for prediction of traffic emission concentrations
Global warming and climate change have become universal issues recently. One of the
leading sources of climate change is automobiles. Automobiles are the prime source of air …
leading sources of climate change is automobiles. Automobiles are the prime source of air …
Exploring multi-pollution variability in the urban environment: geospatial AI-driven modeling of air and noise
This study addresses the critical need for comprehensive multi-pollution modeling in urban
environments by employing Geospatial Artificial Intelligence (GeoAI) techniques …
environments by employing Geospatial Artificial Intelligence (GeoAI) techniques …
Enhancing water and air pollution monitoring and control through ChatGPT and similar generative artificial intelligence implementation
This research delves into the utilization of advanced artificial intelligence (AI), specifically
ChatGPT or Bard, to improve strategies for monitoring and controlling water and air …
ChatGPT or Bard, to improve strategies for monitoring and controlling water and air …
Forecasting of non-accidental, cardiovascular, and respiratory mortality with environmental exposures adopting machine learning approaches
Environmental exposure constantly changes with time and various interactions that can
affect health outcomes. Machine learning (ML) or deep learning (DL) algorithms have been …
affect health outcomes. Machine learning (ML) or deep learning (DL) algorithms have been …