With the advent of big data era, deep learning (DL) has become an essential research
subject in the field of artificial intelligence (AI). DL algorithms are characterized with powerful …

To obtain benefits in the provision of public services, managers of public organizations have
considerably increased the adoption of artificial intelligence (AI) systems. However, research …

Carbon emission is not just a threat to the environment but also an economic burden. Faced
with the growing pollutant emission, the purpose of financial institutions is more crucial. To …

Road traffic induces air and noise pollution in urban environments having negative impacts
on human health. Thus, estimating exposure to road traffic air and noise pollution (hereafter …

Recent studies have demonstrated that mobile sampling can improve the spatial granularity
of land use regression (LUR) models. Mobile sampling campaigns deploying low-cost (< …

Air pollution is not only an environmental problem, but also an economic problem. Faced
with the deteriorating air pollution, the role of financial institutions is increasingly valued …

Artificial neural network (ANN) aimed to simulate the behavior of the nervous system as well
as the human brain. Neural network models are mathematical computing systems inspired …

Air pollution is a global geo-hazard with significant implications, including deterioration of
health and premature death. Climatic variables such as temperature, rainfall, wind, and …

The impact of urban air pollution on the environments and human health has drawn
increasing concerns from researchers, policymakers and citizens. To reduce the negative …

Unwanted odour emissions are considered air pollutants that may cause detrimental
impacts to the environment as well as an indicator of unhealthy air to the affected individuals …