Abstract Bayesian Networks (BNs) have become increasingly popular over the last few
decades as a tool for reasoning under uncertainty in fields as diverse as medicine, biology …

In response to the rapid spread of coronavirus disease-2019 (COVID-19) within and across
countries and the need to protect public health, governments worldwide introduced …

The environment pollutants, which are landed up in environment because of human
activities like urbanization, mining and industrializations, affects human health, plants and …

Air pollution and climate change are general problems for society. This paper proposes an
integrated analysis of the Air Quality Index (AQI) and meteorological conditions in Jakarta …

 This paper reports the construction of a method for calculating the structural function within
a moving window of the fixed size, based on measuring the vector of current concentrations …

Learning the structure of Bayesian networks from data is known to be a computationally
challenging, NP-hard problem. The literature has long investigated how to perform structure …

The present research examined the potential of two important feature selection methods,
Bayesian Networks (BN) and Recursive Feature Elimination (RFE), in identifying the …

The link between pollution and health is commonly explored by trying to identify the
dominant cause of pollution and its most significant effect on health outcomes. The use of …

Abstract The Republic of Kazakhstan, located in Central Asia, has experienced many years
of environmental degradation, largely as a result of the poor management of its significant …

Traffic emissions have become the major air pollution source in urban areas. Therefore,
understanding the highly non-stational and complex impact of traffic factors on air quality is …