Rapid developments in hardware, software, and communication technologies have
facilitated the emergence of Internet-connected sensory devices that provide observations …

Full scale aerodynamic wind tunnel testing, numerical simulation of high dimensional (full-
order) aerodynamic models or flight testing are some of the fundamental but complex steps …

Over the past few years, Bitcoin price prediction has been changed to a big challenge for
investors on cryptocurrencies. In this regard, Neural Networks as a strong structure for …

In this research, an algorithm is presented for predicting the remaining useful life (RUL) of
aircraft engines from a set of predictor variables measured by several sensors located in the …

In recent years, the number of software vulnerabilities discovered has grown significantly.
This creates a need for prioritizing the response to new disclosures by assessing which …

In this tutorial we give an overview of the basic ideas underlying Support Vector (SV)
machines for function estimation. Furthermore, we include a summary of currently used …

In this paper we apply a recently proposed technique of optimal control by support vector
machines (SVMs) to chaos control. Vapnik's support vector method, which is based on the …

Support vector machine (SVM) is one of the well-known learning algorithms for classification
and regression problems. SVM parameters such as kernel parameters and penalty …

This paper shows that if a large neural network is used for a pattern classification problem,
and the learning algorithm finds a network with small weights that has small squared error …

Machine learning and pattern recognition algorithms have in the past years developed to
become a working horse in brain imaging and the computational neurosciences, as they are …