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In the paper, a novel method for high spatial remote sensing data classification was put forward. The method was based on fuzzy set theory combined with NDVI. The classification experiments were carri...
We describe a method for the encoding and the computer analysis of the macroseismic effects deduced from historical sources allowing the complete formalization of the process of seismic intensity asse...
Since the 1990s, several Western firms have filed patents based on medicinal herbs from emerging markets, evoking protests from local stakeholders against 'bio-piracy'. We explore conditions under whi...
The traditional set theory is constructed on the steady state, the bivalent logic and the fixed set boundary. However, the development of fuzzy set or rough set inspires us that an element, which memb...
Traditional error measures (e.g. mean squared error, mean relative error) are often used in the field of water resources to evaluate the performance of models developed for modeling various hydrologic...
This paper is a continuation and generalisation of an earlier study of cotton maturity degree determination in the earlier paper. Up till now the maturity degree of cotton has been determined by the a...
The degree of cotton maturity is a significant parameter characterising the properties of a fibre. Many textile properties depends on the degree of cotton maturity. A frequently applied method for det...

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