Recurrent neurons (and in particular LSTM cells) demonstrated to be efficient when used as
basic blocks to build sequence to sequence architectures, which represent the state-of-the …

This paper presents bearing fault diagnosis using the image classification of different fault
patterns. Feature extraction for image classification is carried out using a novel approach of …

Flash-based solid state drives lack support for in-place updates, and hence deploy a flash
translation layer to absorb the writes. For this purpose, SSDs implement a log-structured …

Abstract Quadrotor Unmanned Aerial Vehicles (UAVs) can perform numerous tasks fearless
of unnecessary loss of human life. Lately, to enhance UAV control performance, system …

Time series forecasting by fuzzy inference systems based on optimal non-uniform attractor
embedding in the multidimensional delay phase space is analyzed in this paper. A near …

The optimal selection of parameters for time-delay embedding is crucial to the analysis and
the forecasting of chaotic time series. Although various parameter selection techniques have …

A new method for identification of an optimal set of time lags based on non-uniform attractor
embedding from the observed non-linear time series is proposed in this paper. Simple …

In this work we propose an objective function to guide the search for a state space
reconstruction of a dynamical system from a time series of measurements. These statistics …

Most forecasting methods use recent past observations (lags) to model the future values of
univariate time series. Selecting an adequate number of lags is important for training …

If the data is dominated by deterministic dynamics, then a one-dimensional measurement of
a single observable is sufficient to essentially reconstruct a potentially multidimensional …