Mehmet Nuri Akinci

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Microwave imaging (MWI) systems extensively employ vector network analyzers for microwave measurements due to their high availability and accuracy. This is in contrast to theoretical models, which are naturally formulated in terms of scattered electric field vectors. Accordingly, experimental verification of MWI methods requires an intermediate step where(More)
Qualitative inverse scattering theory offers a group of highly theoretical methods that aims to extract physical properties of inaccessible targets. Although there are various methods depending on quite different principles which can be ultimately classified as qualitative inverse scattering methods, such methods share some common characteristics. In(More)
Modeling of user behaviour becomes almost a necessity on data networks nowadays. Besides using their resources more efficiently, many data communication systems will perform more effective via estimation of statistical distribution of packet counts transferred (uploaded or downloaded) by users at once. Hence, the purpose of this study is to search suitable(More)
In this paper, a new qualitative inverse scattering method for microwave imaging is proposed. The presented method is inspired by the previously introduced orthogonality sampling method (OSM) and direct sampling method (DSM), which aim to recover the reduced scattered fields. Both the OSM and the DSM are classified as backpropagation-based methods, and they(More)
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