Background: Understanding how neurons contribute to perception, motor functions and cognition requires the reliable detection of spiking activity of individual neurons during a number of different experimental conditions. ...

Forecasting of time series implies time and effort in order to achieve accuracy. In this work is proposed a new strategy of times series forecasting based on the extraction components of low and of high frequency. The ...

Abstract Background Singular value decomposition (SVD) is a powerful technique for information retrieval; it helps uncover relationships between elements that are not prima ...

Abstract Background Singular value decomposition (SVD) is a powerful technique for information retrieval; it helps uncover relationships between elements that are not prima ...

We defend the thesis that the use of text analytics can boost the results of analyses based on Singular Value Decomposition (SVD). To demonstrate our supposition, first we model the Digital Bibliography & Library Project ...

Load cells are used extensively in engineering fields. This paper describes a novel structural optimization method for single- and multi-axis load cell structures. First, we briefly explain the topology optimization method ...

This paper presents a new semi-blind image watermarking system for medical applications. The new scheme utilizes Singular Value Decomposition (SVD) and Discrete Wavelet Transform (DWT) to embed a textual data into original ...

In this paper, we present a simple method to find networks of time-correlated brain sources, using a singular value decomposition (SVD) analysis of the source matrix estimated after any linear distributed inverse problem ...