Breast cancer is regarded as one of the most frequent mortality causes among women. As
early detection of breast cancer increases the survival chance, creation of a system to …

Nonlinear spiking neural P (NSNP) systems are a class of neural-like computational models
inspired from the nonlinear mechanism of spiking neurons. NSNP systems have a …

Today performance and operational efficiency of computer systems on digital image
processing are exacerbated owing to the increased complexity of image processing. It is …

This paper presents a new framework for synchronization of complex network by introducing
a mechanism of event-triggering distributed sampling information. A kind of event which …

The memristor has been extensively studied in electrical engineering and biological
sciences as a means to compactly implement the synaptic function in neural networks. The …

This paper investigates the finite-time synchronization of delayed fractional-order memristive
bidirectional associative memory neural networks (FMBAMNNs). Based on Lyapunov …

With respect to automotive safety, the driver plays a crucial role. Stress level, tiredness, and
distraction of the driver are therefore of high interest. In this paper, a driver state detection …

Even though computer vision has been developing, edge detection is still one of the
challenges in that field. It comes from the limitations of the complementary metal oxide …

Edge detection algorithm based on quantum image processing has attracted much attention
due to low circuit complexity and small storage capacity. Since the classical smallest …

We developed a robust, quasi high-pass filter for edge detection in medical images. The
kernel-based algorithm of our detector was similar to that of conventional edge detectors …