The escalating population and rapid industrialization have led to a significant rise in
environmental pollution, particularly air pollution. This has detrimental effects on both the …

As the most economically developed province in China, Guangdong is facing the severe
challenge of reducing carbon emissions. The aim of this study is to explore whether …

This study explores the feasibility of utilizing bedded salt deposits as sites for underground
hydrogen storage. We introduce an innovative artificial intelligence framework that applies …

A water supply is vital for preserving usual human living standards, industrial development,
and agricultural growth. Scarce water supplies and unplanned urbanization are the primary …

In this paper, an optimized backpropagation neural network (BPNN) prediction models have
been proposed to estimate the concentration of titanium dioxide (TiO 2) nanomaterials …

This study aimed to respond to the national “carbon peak” mid-and long-term policy plan,
comprehensively promote energy conservation and emission reduction, and accurately …

With the mass construction of urban subways, the global greenhouse gas (GHG) emissions
have been on the rise. This paper provides statistical evidence to support the infrastructure …

This study proposes an artificial intelligence approach to assess watershed morphometry in
the Makran subduction zones of South Iran and Pakistan. The approach integrates machine …

Presenting a robust intelligent model capable of making accurate reliability forecasts has
been an attractive topic to most industries. This study mainly aims to develop an approach …

Energy has become an integral part of our society and global economic development in the
twenty-first century. Despite tremendous technological advancements, fossil fuels (coal …