Fall detection represents an important issue when dealing with Ambient Assisted Living for the elder. The vast majority of fall detection approaches have been developed for healthy and relatively young people. Moreover, ...

In this study, the method to apply the Elman's recurrent neural networks using resilient back propagation for harmonic detection is described. The feed forward neural networks are also used for comparison. The distorted ...

The goal of this study is to deal with the modelling and calculation of the ground-borne vibrations and the effect of the wave propagation on foundation response with emphasis on vibration screening systems. Herein, ANSYS ...

In this paper, a new Target Density Function(TDF) is theorized to image the radar targets by a new estimation algorithm. TDF is represented in a specified manner. This method is developed by inspiring of ambiguity functions. ...

We present a neuro-dommance rule for single machine total weighted tardiness problem with unequal release dates. To obtain the neuro-dominance rule (NDR), backpropagation artificial neural network (BPANN) has been trained ...

In this work, four alternative algorithms for Classification/Discrimination are described which we have developed recently. These are believed to have several advantages over the previous ones via the introduction of a new ...

A power system at a given operating state and subjected to a given disturbance is voltage stable if the voltages near loads approach post-disturbance equilibrium values. In this paper, by using the energy function that ...