Topographic wetness index (TWI) is used as a proxy for soil moisture, but how well it
performs across varying timescales and methods of calculation is not well understood. To …

Prolonged inhalation of indoor radon and its progenies lead to severe health problems for
housing occupants; therefore, housing developments in radon-prone areas are of great …

Radon potential mapping is challenging due to the limited availability of information. In this
study, a new modeling process using deep learning models based on convolution neural …

This research seeks to elucidate the intricate interplay between soil characteristics and the
rates of radon surface exhalation rate. To achieve this aim, Light Gradient Boosting Machine …

Radon is a natural and radioactive noble gas, which may accumulate indoors and cause
lung cancers after long term-exposure. Being a decay product of Uranium 238, it originates …

This study presents a corrected short-term model using the slope correction factor based on
existing short-term models for estimating radon exhalation rates of building materials using …

Markov Chain models serve two purposes firstly, subdivide the main data based on the
mean value and one and two standard deviation plus and minus values around the mean …

Radon, a radioactive gas produced through the decay of uranium in the earth's crust, poses
a significant health risk when it accumulates to high concentrations indoors. This study …

The conservation of the raccoon dog (Nyctereutes procyonoides) in South Korea requires
the protection and preservation of natural habitats while additionally ensuring coexistence …

The radon release prediction from radioactive-bearing mines during mineral processing and
mining is an essential target. A simple one-hidden-layer artificial neural network (ANN) …