Background: Multiple Sclerosis (MS) is the most frequent non-traumatic neurological disease capable of causing disability in young adults. Detection of MS lesions with magnetic resonance imaging (MRI) is the most common technique. However, manual interpretation of vast amounts of data is often tedious and error-prone. Furthermore, changes in lesions are often subtle and extremely unrepresentati...

This paper shows the use of new discrete event based numerical integration methods applied to the simulation of sliding mode control systems. These methods have many advantages in the simulation of general discontinuous and hybrid systems. In this case, a comparative study is performed showing that the simulation time can be significatively reduced with respect to any method implemented in Simu...

This study deals with joint decisions on pricing and production lot-sizing in a closed-loop supply chain consisting of manufacturing and remanufacturing operations. This study emphasizes the economic analysis of this hybrid system with substitution between the new and the remanufactured versions of the same product. We develop analytical models under a newsvendor framework bearing the following...

We address the problem of cooperative transportation of a cable-suspended payload by multiple quadrotors. In previous work, quasi-static models have been used to study this problem. However, these approaches are severely limited because they ignore the payload dynamics, and do not explicitly model the underactuation in the control problem. Thus, there are no guarantees on the payload trajectory...

The optimum use of energy in wireless sensor networks (WSNs) is very important. The recent researches show that organising the network nodes in some clusters leads to higher efficiency of energy and finally it increases the lifetime of the network. So, controlling the number and the location of the clusters head (CHs) and also the size of the clusters about the node number leads to a balance in...

In this article, we introduce a new way of modelling and analyzing hybrid systems. Our model insists on a clear separation between the discrete and continuous worlds, making it possible to use with little effort existing programs. The analysis, based on abstract interpretation, can prove safety properties concerning the use of floating point numbers instead of real numbers in hybrid systems. Fo...

Data clustering is a process of arranging similar data into groups. A clustering algorithm partitions a data set into several groups such that the similarity within a group is better than among groups. In this paper a hybrid clustering algorithm based on K-mean and K-harmonic mean (KHM) is described. The proposed algorithm is tested on five different datasets. The research is focused on fast an...

In this paper, the improved Euler method is used for solving hybrid fuzzy fractional differential equations (HFFDE) of order q ∈ (0,1) under Caputo-type fuzzy fractional derivatives. This method is based on the fractional Euler method and generalized Taylor’s formula. The accuracy and efficiency of the proposed method is demonstrated by solving numerical examples.