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Soft computing model on genetic diversity and pathotype differentiation of pathogens: A novel approach
(Univ Catolica de Valparaiso, 2015)
Background: Identifying and validating biomarkers' scores of polymorphic bands are important for studies related to the molecular diversity of pathogens. Although these validations provide more relevant results, the ...
Human activity recognition from smart watch sensor data using a hybrid of principal component analysis and random forest algorithm
(Sage Publications Ltd, 2019)
Background: Detecting of human movements is an important task in various areas such as healthcare, fitness and eldercare. It is now possible to achieve this aim using mobile applications. These applications provide users, ...