— Artificial neural networks are widely used in classification problems due to their adaptability. In this paper, an original multi-layer perceptron is used to automatically dete...
—Web service predictions are increasingly evolving in crucial manner in service providing in intelligent systems, in health care. This article highlights research challenges in h...
—This paper is a continuation of our previous work [1], [2], in which we studied the properties of fuzzy automata with the help of VHDL simulations. In our previous studies we sa...
— The paper proposes a new approach to implement common neural network algorithms in the cloud. First part of the paper defines the context and describes a usage of cloud computi...
Abstract—The ”Type 1 Diabetes Mellitus (T1DM)” is a dangerous illness that concerns yearly increasing population. The control of the glucose level in the human body is a wide...
Abstract—The paper deals with the approximately time optimal control of four in-wheel-driven (4WD) electric cars in a test path under state and input constraints with initial per...
—UNIRANDI is a stochastic type, direct search method, where in each step a line search is started from the current point along a good random direction. In this paper we consider ...
—Lowering the supply voltage below the threshold voltage of the transistors brings important benefits regarding the power consumption. However, the main issue of sub-threshold CM...
Abstract—The aims of this paper are to find algebraic characterizations of Schreier loops and explore the limits of the nonassociative generalization of the theory of Schreier e...
–The mechatronic system with variable parameters operating under varying conditions discussed in this paper refers to an electric drive system for winding a strip with constant l...