[HTML][HTML] Artificial intelligence in environmental monitoring: Advancements, challenges, and future directions
Abstract The application of Artificial Intelligence (AI) in environmental monitoring offers
accurate disaster forecasts, pollution source detection, and comprehensive air and water …
accurate disaster forecasts, pollution source detection, and comprehensive air and water …
Air pollution particulate matter (PM2. 5) prediction in South African cities using machine learning techniques
TD Morapedi, IC Obagbuwa - Frontiers in Artificial Intelligence, 2023 - frontiersin.org
Background Air pollution contributes to the most severe environmental and health problems
due to industrial emissions and atmosphere contamination, produced by climate and traffic …
due to industrial emissions and atmosphere contamination, produced by climate and traffic …
Spatio-temporal Variations and Forecast of PM2. 5 concentration around selected Satellite Cities of Delhi, India using ARIMA model
Air pollution presents serious threats to society around the world, especially in India. Among
various ambient air pollutants, particulate matter (PM 2.5 & PM 10) have drawn significant …
various ambient air pollutants, particulate matter (PM 2.5 & PM 10) have drawn significant …
Effect of traffic data set on various machine-learning algorithms when forecasting air quality
Purpose Road traffic emissions are generally believed to contribute immensely to air
pollution, but the effect of road traffic data sets on air quality (AQ) predictions has not been …
pollution, but the effect of road traffic data sets on air quality (AQ) predictions has not been …
Investigation of Air Effluence Using IoT and Machine Learning
Air pollution poses a significant issue in numerous cities worldwide, impacting public health
and the environment. We study three significant cities under the Dhaka division, including …
and the environment. We study three significant cities under the Dhaka division, including …
Constant approximation for opportunistic sensing in mobile air quality monitoring system
Monitoring air quality plays a critical role in the sustainable development of developing
regions where the air is severely polluted. Air quality monitoring systems based on static …
regions where the air is severely polluted. Air quality monitoring systems based on static …
Air Pollution Monitoring Using IoT and Machine Learning in the Perspective of Bangladesh
Air pollution is a big concern in developing countries due to its negative effects on both
human well-being and the environment. Collecting real-time values of air quality is …
human well-being and the environment. Collecting real-time values of air quality is …
A Survey Paper on an IoT-based Machine Learning Model to Predict Air Pollution Levels
SB Kasetty, S Nagini - 2022 4th International Conference on …, 2022 - ieeexplore.ieee.org
In today's quickly developing world, air pollution is a major worry. As pollution rises in the
earth's atmosphere every day, so do its rates. The problem is typically caused by toxic fumes …
earth's atmosphere every day, so do its rates. The problem is typically caused by toxic fumes …
Prediction of Air Pollution with Machine Learning Algorithms
K Oğuz, MA Pekin - Turkish Journal of Science and Technology, 2024 - dergipark.org.tr
Air pollution has become an important problem due to its threats. Air pollutants are in
complex interaction with atmosphere and environment. For this reason, it is important to …
complex interaction with atmosphere and environment. For this reason, it is important to …
Comparison of Various Machine Learning Algorithms in Predicting Air Quality
Air pollution is the major environmental issue that need to be controlled immediately as it is
causing various life-threatening disease like cancer, pneumonia, asthma, and other …
causing various life-threatening disease like cancer, pneumonia, asthma, and other …