Enhancing urban air quality prediction using time-based-spatial forecasting framework

Enhancing urban air quality prediction using time-based-spatial forecasting framework

Air quality forecasting plays a pivotal role in environmental management, public health and urban planning. This research presents a comprehensive approach for forecasting the Air Quality Index (AQI). The proposed Time-Based-Spatial (TBS) forecasting framework is integrated with spatial and temporal information using machine learning techniques on data collected from a wide range of cities. The TBS employs Convolutional Neural Networks (CNNs) to…

The limit values for particulate matter were exceeded at 107 out of 147 measuring points.

Prioritizing Clean Air in an AI Powered World - NationSwell

Smoking has long been acknowledged to be dangerous — no parent would recommend their kids take it up if they want to live a long, healthy life. But few people realize that air pollution has now moved ahead of tobacco and poor diet as a risk of death. As technology advances and wildfires rage due to excess deforestation and increased planet temperatures, are we spending enough time thinking about how innovation like AI can be leveraged to priorit…

Air pollution decreasing but air quality remains serious risk

The Fourth Clean Air Outlook report shows that more action is needed to achieve the EU’s zero-pollution ambition.