Can machine learning effectively 7-Keto lower the effort necessary to extract important information from raw data for hydrological research questions? On the example of a typical water-management task, the extraction of direct runoff flood events from continuous hydrographs, we demonstrate how machine learning can be used to automate the applicatio
Improving the matching reliability of multi-sensor imagery is one of the most challenging issues in recent years, particularly for synthetic aperture radar (SAR) 5 Piece Modular Sectional and optical images.It is difficult to deal with the noise influence, geometric distortions, and nonlinear radiometric difference between SAR and optical images.In
Medical herbs have been recognized till now as having different constituents that act on the human body.However, the fragrance of herbs is a complex mixture of odors, which makes it difficult to qualify or quantify the scent objectively on the human sense of smell.In this study, aromas of 15 medicinal herbs were recorded using an electronic nose FF