Climate prediction has advanced considerably in the past 20 years, but substantial room for improvement still exists (see review paper by Goddard et al. 2001 for more complete description of the current approaches to seasonal-to-interannual climate prediction and identification of prediction research frontiers). Such improvements rely critically on the establishment and maintenance of quality o...

Recently, the authors introduced a novel algorithm for long range prediction of flat fading channels that can reliably predict future fading coefficients far beyond the coherence time. This prediction capability provides enabling technology for power and bandwidth efficient adaptive modulation and coding methods. In this paper, we extend our results to the Direct Sequence Code Division Multiple...

The prediction of bankruptcy is of significant importance with the present-day increase of bankrupt companies. In the practical applications, the cost of misclassification is worthy of consideration in the modeling in order to make accurate and desirable decisions. An effective prediction system requires the integration of the cost preference into the construction and optimization of prediction...

Bankruptcy prediction is of great importance in financial statement analysis to minimize the risk of decision strategies. It attempts to separate distress companies from healthy ones according to some financial indicators. Since the real data usually contains irrelevant, redundant and correlated variables, it is necessary to reduce the dimensionality before performing the prediction. In this pa...

To evaluate and predict component-based software security, a two-dimensional model of software security is proposed by Stochastic Petri Net in this paper. In this approach, the software security is modeled by graphical presentation ability of Petri nets, and the quantitative prediction is provided by the evaluation capability of Stochastic Petri Net and the computing power of Markov chain. Each...

the wepp physically model is able to dynamically simulate runoff and soil erosion using physical concepts of erosion and hydraulic of overland flow science considering plant growth, residue decomposition, winter process. determination of the capability of this model in runoff and erosion estimation in different range type with investigation the effects of management were the main objectives of ...

Recently, we are focusing on managing the energy system automatically. The smart grids perform much functionality like a self-healing capability, a self-resistance to external attacks, and actively engage the consumers. Also we provide high quality power to consumers in the operation environment of smart grids. In this paper, we propose a prediction methodology based on random forest classifier...

Abstract Predictive analytics is an area of statistics that deals with extracting information from data and using it to predict trends and behavior patterns. Many mathematical modeling has been developed and used for prediction, and in some cases, they have been found to be very strong and reliable. This paper studies different mathematical and statistical approaches for events prediction. The ...

Software reliability growth model is one of the basic techniques to assess software reliability quantitatively and it provides the essential information for software development activities. In this paper we compare the predictive capability of popular software reliability growth models (SRGM), such as exponential growth, delayed S-shaped growth and inflection S-shaped growth models. We first re...