Integrated multi-scale method to predict cross-ventilation effects on inhalation exposure riskthrough NWP?CFD and network modeling

The aim of this paper is to present modified neural network algorithms to predict whether it is best to buy, hold, or sell shares trading signals of stock market indices.. Most

In the present paper, the methods of independent component analysis ICA and principal component analysis PCA are integrated into BP neural network for forecasting financial time

Jayamsakthi Shanmugam, Dr.M.Ponnavaikko “A Solution to Block Cross Site Scripting Vulnerabilities Based on Service Oriented Architecture”, in Proceedings of 6th IEEE

The proposed model in this study builds upon recent developments of integrated supply chain design models that simultaneously consider location, inventory, and shipment decisions in

Using the multi-scale convergence method, we derive a homogenization result whose limit problem is defined on a fixed domain and is of the same type as the problem with

On the other hand, modeling nonlinear dynamics and chaos, with its origins in physics and applied mathematics, usually concerned with autonomous systems, very often

Variational iteration method is a powerful and efficient technique in finding exact and approximate solutions for one-dimensional fractional hyperbolic partial differential equations..

Based on the evolving model, we prove in mathematics that, even that the self-growth situation happened, the tra ffi c and transportation network owns the scale-free feature due to