Algorithms of filtering, edge detection, and extraction of details and their implementation using cellular neural networks (CNN) are developed in this paper. The theory of CNN based on universal binary neurons (UBN) is also developed. A new learning algorithm for this type of neurons is carried out. Implementation of low-pass filtering algorithms using CNN is considered. Separate processing of ...

We study the equilibrium geometry and electronic structure of thin films of layered gray arsenic using ab initio density functional theory. In contrast to bulk gray As that is semimetallic, thin films display a significant band gap that depends sensitively on the number of layers, in-layer strain, layer stacking, and interlayer spacing. We find that metallic character can be introduced by incre...

Mathematical morphology (MM) is a theory for nonlinear image and signal processing that was originally based on complete lattices and is usually still conducted in this framework. Later, MM was extended from complete lattices to complete inf-semilattices (cisls) using reference functions. Recently an auto-associative memory model based on a cisl was introduced by Sussner and Medeiros who conduc...

In this study, the performance of the algorithms of whale, Differential evolutionary, crow search, and Gray Wolf optimization were evaluated to operate the Golestan Dam reservoir with the objective function of meeting downstream water needs. Also, after defining the objective function and its constraints, the convergence degree of the algorithms was compared with each other and with the absolut...

Historically CPM-GOMS has been used to predict total time for long stretches of behavior. In “Milliseconds Matter”, Gray and Boehm-Davis (2000) use CPM-GOMS to develop microstrategy variants with subtly different internal structure to explain differences observed in empirical data collected. They argue for microstrategies as the basic unit of adaptive behavior selection. While the microstrategi...

Recent neurophysiological studies (e.g. Eckhorn et al. 1994; Engel et al., 1990; Gray & Singer, 1989; Gray et al., 1990; Kreiter & Singer, 1992) have encouraged speculation that the synchronization of spatially distributed neural assemblies (at around 40 Hz in the neocortex) is responsible for the ‘binding’ of discrete stimulus components into coherent ‘wholes’ during visual object perception (...

A method is explored to remove tall building shadows in true color and color infrared urban aerial images based on the theory of color constancy. This paper first uses the specthem ratio and Otsu threshold segmentation methods to detect building shadows on urban aerial true color and color infrared aerial images. Then, based on the shadow detection result, one of the color constancy algorithms ...

Due to the hazards caused by Vespa Mandarinia, public reports collected in Washing-ton State were classified. Therefore, two models established this paper: The Grey Pre-diction Model and Prediction Classification Model. We begin with predict problem of whether a pest can spread over period time. Based on gray scale prediction theory combining experts' identification sighting report as data GM (...

Lung cancer is the deadliest type of cancer for both men and women. Feature selection plays a vital role in cancer classification. This paper investigates the feature selection process in Computed Tomographic (CT) lung cancer images using soft set theory. We propose a new soft set based unsupervised feature selection algorithm. Nineteen features are extracted from the segmented lung images usin...