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Browsing Engenharias by Subject "Artificial intelligence"
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Item Adaptação do WGAN ao processo estocástico(Universidade Católica do Salvador, 2020-09-30) Aquino, Rafael Rembrandt; Wyzykowski, André Brasil Vieira; http://lattes.cnpq.br/; Pereira, Mário Jorge Pereira; http://lattes.cnpq.br/; Reis, Marcelo Índio dos; http://lattes.cnpq.br/Within different areas of knowledge, data (different types of information) are valuable and their analysis is even more valuable. Then, associating the area of artificial intelligence, a new trend is observed, the generation of synthetic data to fill the lack of data. Therefore, analyzing current contexts, this work aims to demonstrate the use of techniques based on random events to optimize the result in the execution of algorithms based on GAN (Generative adversarial networks) and through a validation through the calculating the FID (Frechet Inception Distance) it was possible to analyze the results, determining the quality of the data generated by the proposed algorithm compared to WGAN.Item e-Coach: um sistema de recomendação de equipes e personagens de league of legends utilizando redes neurais multicamadas(Universidade Católica do Salvador, 2019-06-18) Gonçalves, Danilo Silva; Wyzykowski, André Brasil Vieira; lattes.cnpq.br; Wyzykowski, André Brasil Vieira; lattes.cnpq.br; Reis, Marcelo Indio dos; lattes.cnpq.br; Aquino, Pamela Arielle Brito de; lattes.cnpq.brThe mode of electronic sports has been increasingly present in society, crowding stadiums in different parts of the world and conquering more and more supporters by where their events take place. Between investment and millionaire awards, a career as a cyber athlete has become a goal of young people in the gamer community, as well as encouraging other companies in the area. In this sense, this study demonstrates the implementation of an algorithm applying Multi Layer Perceptron networks, using as a database the results of ranked matches of League of Legends. In addition, it explains the execution of experiments with players in real matches using the algorithm and comparing them to matches without using the algorithm. Thus, making possible the realization of the prediction of which team and characters that best fit for the match in obtaining victory.