The study is aimed at particle sorting at the Copper Mountain Mine using XRF. Possible
applications include the rejection of barren material from mill feed, the rejection of pebbles in …

In Brazil, the development of gullies constitutes widespread land degradation, especially in
the state of South Mato Grosso, where fighting against this degradation has become a …

The spatial distribution prediction of hydrocarbon resource is essential to reduce exploration
risks and improve investment returns. Determining the location of the spatial distribution of …

Urban flooding is a complex natural hazard, driven by the interaction between several
parameters related to urban development in a context of climate change, which makes it …

Tree augmented naïve Bayes classifier (TAN) has been widely used in machine learning
and data mining. To improve the flexibility and classification performance of TAN, this paper …

Accurate prediction of the spatial distribution of hydrocarbon accumulations underlies risk
reduction and improvement of exploration work. Determining the location of oil and gas …

Effective evaluations of hydrocarbon potential contribute to delineating promising target
areas for further exploration. Sparse available data and known hydrocarbon reservoirs in …

Purpose The selection of marketing channels by vegetable producers directly affects the
income of producers and is important for the maintenance of a stable supply of vegetables …

Accurate prediction of spatial distribution of petroleum resources is important for petroleum
exploration. Mahalanobis distance is a popular and effective method to predict the spatial …