Social media is a computer application designed to make it simpler communicate with others without having do face-to-face, as well tool for fun and reducing feelings of isolation. Existing social applications include games, music, communicating distant individuals, among others. These are utilized by parents, adolescents, even young children. The Tik-Tok frequently used children networking plat...

In this article, we propose a novel algorithm for the recognition of complex activities in multimedia streams. The algorithm consists of a discriminative feature classifier based on random forests and a generative classifier, for which we use the hierarchical hidden Markov model. The discriminative feature classifier checks the existence or absence of the steps required for the execution of an ...

In this paper, a chaotic particle swarm optimization with mutation-based classifier particle swarm optimization is proposed to classify patterns of different classes in the feature space. The introduced mutation operators and chaotic sequences allows us to overcome the problem of early convergence into a local minima associated with particle swarm optimization algorithms. That is, the mutation ...

Power transformer is an essential component for the stable and reliable operation of electrical power grid. The traditional fault diagnostic methods based on dissolved gas analysis are limited due to low accuracy identification. In this study, effective diagnosis system proposed improve identification accuracy. approach combines improved genetic algorithm (IGA) with XGBoost form a hybrid networ...

Development of fuzzy ifthen rules and formation of membership functions are the important consideration in designing a fuzzy classifier system. This paper presents a Modified Genetic Algorithm (ModGA) approach to obtain the optimal rule set and the membership function for a fuzzy classifier. In the genetic population, the membership functions are represented using real numbers and the rule set ...

In this paper we investigate the performance and operation of a Learning Classifier System on problems with real-valued states and a Boolean action space. Specifically, we study aspects of the algorithm and parameter set of the simple strength-based Learning Classifier System used, ZCS. Increased performance is found to result from the use of an update algorithm based on that of NewBoole, an ea...