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Wykaz obszarów badawczych związanych z tagiem Filtracja:

# Obszar badawczy Dziedzina naukowa
1 Processing of SAR radar images with particular emphasis on the phenomenon of radar speckle. Research in this area can be conducted in two main directions. The first is the study of the possibility of using selected image processing methods to remove speckle: an analysis of the effectiveness of the existing solutions and a proposal of innovative ones, based on e.g. classic methods of adaptive filtration, morphological filtration, multi-temporal (or, generally: multi-look) filtration, but also methods of machine learning, including convolutional neural networks. The second of the above-mentioned fields is the study of the significance of the phenomenon of radar speckle for the classification of the content of radar images and the development of a methodology allowing to maximize its effectiveness - with the specification of the procedure for dealing with the phenomenon of speckle.

Current research is focused on applications of dispersed systems in medicine, mainly in drug delivery systems such as inhalers and intranasal atomizers. In this case, chemical engineering issues concern, among others: (i) hydrodynamics and mass transport in the respiratory tract; (ii) generation of micro- and nanometric particles suitable for inhalation drug delivery (product and formulation engineering issues); (iii) analysis of processes taking place in the presence of surfactants (e.g. (iii) analysis of processes taking place in the presence of surfactants (e.g. interaction of particles with the lung surface containing the pulmonary surfactant); (iv) filtration of aerosols; (v) calculation and physical modeling of aerosol particle deposition in the respiratory system. Research is carried out in collaboration with pulmonologists and with the support of scientific projects (e.g. NCN, commercial projects with pharmaceutical and medical device companies).