Air pollution is strongly tied to climate change. Industrialization and fossil fuel combustion
are the main contributors leading to climate change, also being significant sources of air …

Restoration of water quality at rivers is a big problem for water quality managers. This paper
analyzes water quality parameters across five years from 2012 to 2016 in a case study of …

Traditional agricultural systems require huge amount of power for field watering. This paper
proposes a smart irrigation system that helps farmers water their agricultural fields using …

Air quality index (AQI) is an essential measure of air pollution evaluation, which describes
the air pollution degree and its impact on health, so the accurate prediction of AQI is …

Presence of particulate matters with aerodynamic diameter of less than 2.5 μm (PM 2.5) in
the atmosphere is fast increasing in Malaysia due to industrialization and urbanization …

Accurate air quality index (AQI) forecasting makes a difference to public health, local
economic development, and ecological environment. As a typical geographical datum, the …

Abstract The Markov Weighted Fuzzy Time Series (MWFTS) is a method for making
predictions based on develo** a fuzzy time series (FTS) algorithm. The MWTS has …

A novel system regarding deterministic and interval predictions of pollutant concentration is
constructed in this study, which can not only obtain higher prediction accuracy in …

Hyperautomation acts as a real digital transformation with the support of several cutting-
edge cognitive computation methods that include robotic process automation, natural …

Fuzzy time series (FTS) forecasting models show a great performance in predicting time
series, such as air pollution time series. However, they have caused major issues by utilizing …