In this papec performance improvement of maximumlikelihood sequence estimation (MLSE) receivers operated in jut fading wireless cellular communication channels is investigated. The modijed receiver structure uses a channel classification method based on a decision variable obtainedfrom multiple traffic bursts. By formulating the decision variable using the F-distribution, analytic expressions f...

This paper presents a robust signal classification scheme for achieving comprehensive spectrum sensing of multiple coexisting wireless systems. It is built upon a group of feature-based signal detection algorithms enhanced by the proposed dimension cancelation (DIC) method for mitigating the noise uncertainty problem. The classification scheme is implemented on our testbed consisting real-world...

We introduce an image triage system which facilitates the collaboration of human analysts, augmented human analysts, and automated technology to efficiently and accurately classify a two-class database of images. The system iteratively allocates images for binary classification among heterogeneous agents according to the Generalized Assignment Problem (GAP) and combines the classification resul...

The goal of this paper is to show consistency techniques methods and hybrid stochastic/deterministic models to describe biochemical systems and their behaviour through the ordinary differential equations. 1998 ACM Subject Classification I.6.1 Simulation Theory

In this paper, we describe how to solve Model A (finite number of countries complete markets) of the JEDC project by using a simulation-based Parameterized Expectations Algorithm (PEA). JEL classification : C6; C63; C68; C88

This section describes some of the applications to which evolutionary computation has been applied. Applications are divided into the areas of planning, design, simulation and identification, control, and classification.

In this paper, a fused feature vector consisting of raw time series and texture feature information is proposed for space object classification. The time series data includes historical orbit trajectories and asteroid light curves. The texture feature is derived from recurrence plots using Gabor filters for both unsupervised learning and supervised learning algorithms. The simulation results sh...

We consider a deconvolution model for 3D periodic flows. We show the existence of a global attractor for the model. MCS Classification : 76D05, 35Q30, 76F65, 76D03 Key-words : Navier-Stokes equations, Large eddy simulation, Deconvolution models.

A new approach to evaluate training in simulators based on virtual reality is proposed. This approach uses Gaussian Mixture Models (GMM) for modeling and classification of the simulation in pre-defined classes of training.

Image acquisition system of chestnuts has been designed in this study. After the preprocessing on the images, including image de-noising, image enhancement, image segmentation, edge extraction and edge linking, the parameters of the shape features of chestnuts such as the areas, the perimeter, the circularity, the eccentricity and the degree of circularity have been extracted. This study propos...