Satellite communication has the characteristics of wide coverage and large communication
capacity, and is not easily affected by land disasters. It is quite suitable as a supplement to …

Machine Learning (ML), a subset of Artificial Intelligence (AI), is gaining popularity in the
architectural, engineering, and construction (AEC) sector. This systematic study aims to …

Anthropogenic sources of fine particulate matter (PM2. 5) threaten ecosystem security,
human health and sustainable development. The accuracy prediction of daily PM2. 5 …

Human trajectory Prediction (HTP) in complex social environments plays a crucial and
fundamental role in artificial intelligence systems. Conventional methods make use of both …

The application of low‐cost air quality monitoring networks has substantially grown over the
last few years, following the technological advances in the production of cheap and portable …

Background: Although computational models are advancing air quality prediction, achieving
the desired performance or accuracy of prediction remains a gap, which impacts the …

Renewable energy sources, elastic loads, and purposeful manipulation of meter readings
challenge the monitoring and control of today's power systems (PS). In this context, fast and …

Globally, there are significant worries about the rise in air pollution (AP) from substances that
are harmful to human health, different living forms, and unfavorable environmental …

In recent years, A series of environmental problems caused by air pollution have attracted
widespread attention. Air quality forecasting has become an indispensable part of people's …

Accurate and efficient air quality prediction is crucial for public health protection and
environmental sustainability. While numerous grid-based and graph-based prediction …