Vehicular ad hoc networks (VANETs) are special case of mobile ad hoc networks (MANETs) where non real-time applications are appreciated as compared to real time because of very frequent network partitions caused by high node mobility. Delay tolerant network (DTN) follows the approach of store and forward i.e. message ferrying. In this paper the selection of ferry to forward the data is based on...

in this paper, financial services in the iranian as a sector with a leontief production function, this sector buys inputs from other sectors for its productions and provides services to expedite the cash fellows and risk transformation to other sectors, the first relations are called backward linkage and the later relations are called forward linkage, for quantification of the linkage , employm...

A method was developed to accurately predict the risk of injuries in industrial jobs based on datasets not meeting the assumptions of parametric statistical tools, or being incomplete. Previous research used a backward-elimination process for feedforward neural network (FNN) input variable selection. Simulated annealing (SA) was used as a local search method in conjunction with a conjugate-grad...

We develop an orthogonal forward selection (OFS) approach to construct radial basis function (RBF) network classifiers for two-class problems. Our approach integrates several concepts in probabilistic modelling, including cross validation, mutual information and Bayesian hyperparameter fitting. At each stage of the OFS procedure, one model term is selected by maximising the leave-one-out mutual...

abstract purpose of this paper: the objectives of this paper are two folds: (1) utilizing hierarchical fuzzy technique for order preference by similarity to ideal solution (topsis) approach to evaluate the most suitable rfid-based systems decision, and (2) to highlight key risks and benefits of radio frequency identification technology in healthcare industry. design/methodology/approach: resear...

This paper puts forward a hierarchical approach for categorizing emails with the ME model based on its contents and properties. This approach categorizes emails in a two-phase way. First, it divides emails into two sets: legitimate set and Spam set; then it categorizes emails in two different sets with different feature selection methods. In addition, the pre-processing, the construction of fea...