Air pollution is a serious problem that affects economic development and people's health, so
an efficient and accurate air quality prediction model would help to manage the air pollution …

Abstract AQP (Air Quality Prediction) is a very challenging project, and its core issue is how
to solve the interaction and influence among meteorological, spatial and temporal factors. To …

Air quality issues are critical to daily life and public health. However, air quality data are
characterized by complexity and nonlinearity due to multiple factors. Coupled with the …

Based on the panel data of atmospheric environmental pollution in Hunan Province from
2016 to 2023, the autoregressive integrated moving average model (ARIMA) is introduced to …

Water management is critical in nations with water scarcity and it affects farming significantly.
Farming plays a major role in human livelihood with the increase in population. Presently …

Nowadays, air quality prediction is the most essential process taken by an Indian
government. Due to poor quality of air, unhealthy lifestyle and premature deaths of humans …

This research enhances air quality predictions in Abu Dhabi by employing Autoregressive
Integrated Moving Average (ARIMA) models on comprehensive air quality data collected …

Emissions of volatile organic compounds (VOCs) from the building industry in China are
increasing. Predicting future trends in China's building industry VOCs will help the …

Every industry relies heavily on electrical machines. When these machines fail without
giving a signal or warning, there is unplanned downtime and unanticipated deployment of …

Air quality data analysis is based on real-time data collection, and how to use them for
prediction after obtaining a large amount of data is an important problem to be solved in air …