A significant negative impact of spam e-mail is not limited only to the serious waste resources, time, and efforts, but also increases communications overload cybercrime. Perhaps most damaging aspect email that it has become such a major tool for attacks cross-site scripting, malware infection, phishing, request forgery, etc. Due nature adaptive unsolicited spam, been weakening effect previous ...

Chimera and Solitary states have captivated scientists engineers due to their peculiar dynamical corresponding the co-existence of coherent incoherent evolution in coupled units various natural artificial systems. It has been further demonstrated that such can be engineered systems oscillators by suitable implementation communication delays. Here, using supervised machine learning, we predict (...

Adverse left ventricular (LV) remodeling after myocardial infarction (MI) is a major cause for heart failure. Molecular modifiers of the remodeling process remain poorly defined. Patients with heart failure after MI have reduced LV expression levels of muscle LIM protein (MLP), a component of the sarcomeric Z-disk that is involved in the integration of stress signals in cardiomyocytes. By using...

In this paper we present criteria for an n-quasigroup to be isotopic to an n-group. We call a such n-quasigroup G−n-quasigroup. Applications to functional equations on quasigroups are presented in a subsequent paper. 2000 Mathematics Subject Classification: 20N15. Some important n-quasigroup classes are the following. An n-quasigroup (A,α) of the form α(x1 ) = n ∑ i=1 fi(xi)+a, where (A,+) is a...

ARTIFICIAL neural network (NN) architectures have been recognized for a number of years as a powerful technology for solving real-world image processing problems. The primary purpose of this special issue is to demonstrate some recent success in solving image processing problems and hopefully to motivate other image processing researchers to utilize this technology to solve their real-world pro...

Wind speed high-precision prediction is one of the most important technical aspects to protect the safety of wind power utilization. In this study, two new hybrid methods [FEEMD-MEA-MLP/FEEMD-GA-MLP] are proposed for the wind speed accurate multi-step predictions by combining FEEMD (Fast Ensemble Empirical Mode Decomposition), MEA (Mind Evolutionary Algorithm), GA (Genetic Algorithm) and MLP (M...

In this paper, we study a natural extension of Multi Layer Perceptrons (MLP) to functional inputs. We show that fundamental results for numerical MLP can be extended to functional MLP. We obtain universal approximation results that show the expressive power of functional MLP is comparable to the one of numerical MLP. We obtain consistency results which imply that optimal parameters estimation f...

This paper makes two scientific contributions to the field of exoskeleton-based action and movement recognition. First, it presents a novel machine learning pattern recognition-based framework that can detect wide range actions movements - walking, walking upstairs, downstairs, sitting, standing, lying, stand sit, sit stand, lie, lie with an overall accuracy 82.63%. Second, comprehensive compar...

In computer networks, diverse applications generate network traffic with different characteristics. Network classification is significant to manage networks better, improve service quality and ensure security. Software-Defined Networks (SDN) provides flexible adaptable techniques for its programmable structure. SDN flows naturally exhibit particular characteristics of protocols. Therefore, it c...