Sedat Nazlibilek

TL;DR: A new and completely automatic counting, segmentation and classification process is developed that automatically counts the white blood cells, determine their sizes accurately and classifies them into five types such as basophil, lymphocyte, neutrophil, monocyte and eosinophil.

TL;DR: A mobile SN is used to detect mines and some other objects buried and creating magnetic anomaly in and around the region where they are found, with the behavior of the individual sensors swarming onto the area under which a mine or any other object is buried.

TL;DR: An innovative method based on an algorithm utilizing discrete convolutions of discrete-time functions is developed to obtain and represent discrete Lissajous and recton functions, which are actually discrete auto- and cross-correlation functions.

TL;DR: In this paper, the authors used magnetic anomaly of ferromagnetic objects such as submarines moving inside water to determine the remote detection, the variation of characteristic of the voltage in the sensor relative to the motion, the effects of material length, magnetic permeability and direction of motion of the object on this characteristic and to convert them to a useful mathematical expression.

TL;DR: In this paper, the authors used two kinds of neural network structures: MultiLayer Perceptron (MLP) and Radial Basis Function (RBF) network types for training of the neural networks.