A new Markov-based method for real time prediction of network transmission time delays is introduced. The method considers a Multi-Layer Perceptron (MLP) neural model for the transmission network, where the number of neurons in the input layer is minimized so that the required calculations are reduced and the method can be implemented in the real-time. For this purpose, the Markov process order...

Obtaining a fast and reliable decision is an important issue in brain-computer interfaces (BCI), particularly in practical real-time applications such as wheelchair or neuroprosthetic control. In this study, the EEG signals were firstly analyzed with a power projective base method. Then we were applied a decision-making model, the sequential probability ratio testing (SPRT), for single-trial cl...

Feature Based Classification using Radial Based Functions Neural Networks is being used to determine defects in steel. Other Strategies to solve the problem are Multi layered Networks which require designing of various layers in hidden layer of the network but such techniques are infeasible here due to lack of adequate training data and high probability of inaccuracy due to improper design of n...

Objective(s): This work focuses on preparing an efficient bacterial capture system based on the magnetic polyphenolic nanostructure. For a reason, a one-step hydrothermally route was employed to prepare ZnFe2O4@hydroxybenzoic acid - resorcinol nanohybrid. Methods: The nanostructure was characterized by X–ray diffraction (XRD), field ...

Thermal recovery techniques including Fast-SAGD process increases the production efciency of heavy oil reservoirs. Effective parameters in this study included injection and production rates, height of the injection, production, and offset wells, production and injection cycles, and pressure of the offset wells. In this study, optimization studies were performed. The objective function was defned a...