Burst error modeling has seen extensive research and progress over several decades evolving into ever more complex modeling techniques used today. This paper analyzed usefulness of some prominent generative and descriptive (analytical) methods. Data containing error bits and packets from real wireless transmission was captured on a physical interface and used to obtain statistical information a...

In view of pollution prediction modeling, the study adopts homogenous (random forest, bagging, and additive regression) and heterogeneous (voting) ensemble classifiers to predict the atmospheric concentration of Sulphur dioxide. For model validation, results were compared against widely known single base classifiers such as support vector machine, multilayer perceptron, linear regression and re...

The static pull-in instability of beam-type micro-electromechanical systems is theoretically investigated. Two engineering cases including cantilever and double cantilever micro-beam are considered. Considering the mid-plane stretching as the source of the nonlinearity in the beam behavior, a nonlinear size-dependent Euler-Bernoulli beam model is used based on a modified couple stress theory, c...

Knitted fabrics are widely used by the underwear apparel industry due to their good elasticity. Modeling the mechanical behavior of knitted fabrics using Kelvin model is one of the discussed subjects in the textile industry. The purpose of this study is to investigate the accuracy of a nonlinear Kelvin model for determining the drying behavior of knitted fabrics. To fulfill this aim, genetic al...

Accumulation of sediment transport volume and reduce the useful life of dams, water storage tanks can be. So far, many methods for calculating sediment this is presented in reservoirs are generally classified into two categories: mathematical modeling and experimental .This study examines the effect of using Gstars model parameters in the model, deposition of sediment in the reservoir tank and ...

Electrical impedance tomography (EIT) is a highly unstable problem with respect to measurement and modeling errors. With clinical measurements, knowledge about the body shape is usually uncertain. Since the use of an incorrect model domain in the measurement model is bound to lead to severe estimation errors, one possibility is to estimate both the conductivity and parametrization of the domain...

The prediction of the ultimate bearing capacity of the pile under axial load is one of the important issues for many researches in the field of geotechnical engineering. In recent years, the use of computational intelligence techniques such as different methods of artificial neural network has been developed in terms of physical and numerical modeling aspects. In this study, a database of 100 p...