Optical Coherence Tomography (OCT) uses the spatial and temporal coherence properties of optical waves backscattered from a tissue sample to form an image. An inherent characteristic of coherent imaging is the presence of speckle noise. In this study we use a new ensemble framework which is a combination of several Multi-Layer Perceptron (MLP) neural networks to denoise OCT images. The noise is...

Ground vibrations caused by blasting are undesirable results in the mining industry and can cause serious damage to the nearby buildings and facilities; therefore, controlling such vibrations has an important role in reducing the environmental damaging effects. Controlling vibration caused by blasting can be achieved once peak particle velocity (PPV) is predicted. In this paper, the values of P...

The Neurosolver, a neural network based on the architecture and connection patterns of cortical columns, is applied as a solver of rearrangement problems in a version of the blocks world. The rearrangement problems are expressed in terms of state spaces that are suitable for the Neurosolver. Automatic ways of generating state spaces are discussed. Several presented experiments illustrate the so...

Abstract In this paper we consider opportunistic routing in multiple-input–multiple-output (MIMO) random wireless ad-hoc networks (WANETs). Our analysis uses a proper model of the physical layer together with an abstraction higher communication layers. We assume that nodes are distributed according to Poisson point process and scheme opportunistically selects next relay number spatially multipl...

The prediction model for object-oriented software development effort estimation using one hidden layer neural network has been implemented in this paper. This prediction model has been empirically validated on PROMISE software engineering repository dataset. Accurate prediction of software development effort and schedule is still a challenging job in software industry. This prediction model has...

We introduce and evaluate the active prefix (AP), a novel communication element consisting of node characteristics and application interests used to build efficient AP based mobile ad-hoc networks (APNs) with four distinguishing properties. First, APs define node addressing and application interests in a distributed way. Second, nodes communicate by sending messages using their APs as message h...

Groundwater quality management is the most important issue in many arid and semi-arid countries, including Iran.Artificial neural network (ANN) has an extensive range of applications in water resources management. In this study,artificial neural network was developed using MATLAB R2013 software package, and Cl, EC, SO4 and NO3 qualitativeparameters were estimated and compared with the measured ...

A knowledge-based approach to retrieve medical images by feature and content with spatial and temporal constructsk developed. Selected objects of interest in a medical image (e.g., x-ray, MR image) are segmented, and contours are generated from these objects. Features (e.g., shape, size, texture) and content (e.g., spatial relationships among objects) are extracted and stored in a feature and c...

Hierarchical neural networks consist of multiple neural networks assembled in the form of an acyclic graph. The purpose of this study is to identify the hierarchical radial basis function neural networks and select important input features for each sub-RBF neural network automatically. Based on the pre-defined instruction/operator sets, a hierarchical RBF neural network can be created and evolv...