Registro de programa de computador
URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/9
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Item Sistema Fuzzy para Avaliação Inclusiva e Sustentável (SFAIS)(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) BRITO JUNIOR, Jorge de Almeida; LEITE, Jandecy CabralThis document certifies the registration of the software Fuzzy System for Inclusive and Sustainable Evaluation (SFAIS), developed in the Python programming language. The system applies fuzzy logic to evaluate inclusion and sustainability parameters in different contexts, enabling more precise and adaptable analysis. The software was registered with the National Institute of Industrial Property (INPI) under number BR512025000363-3, valid for 50 years from January 1st following the date of 12/18/2024.Item Redes Neurais Artificiais para Comparação entre Propriedades Mecânicas Materiais(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) DIAS, Jonathan Oliveira; LEITE, Jandecy CabralRegistration of a computer program entitled "Artificial Neural Networks for Comparison of Mechanical Properties of Materials," developed in Python. The program is valid for 50 years from January 1st following the publication date (12/03/2024). Its applications cover engineering, materials, and artificial intelligence areas as specified by the National Institute of Industrial Property (INPI).Item Aplicação de Inteligência Artificial para Previsões e Ajustes de Fator de Potência (FP) por Fase(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) ALMEIDA, Anderson Alexandre Silva de; LEITE, Jandecy CabralThis document certifies the registration of the software entitled "Application of Artificial Intelligence for Predictions and Adjustments of Power Factor (PF) by Phase." Developed in Python, the program leverages artificial intelligence techniques to accurately predict and adjust the power factor of electrical systems. The solution aims to optimize the energy performance of three-phase systems, reducing losses and promoting greater operational efficiency.Item Modelo de Previsão de Chuva Usando Redes Neurais Artificiais(Instituto Nacional da Propriedade Industrial (INPI), 2022-09-20) BERNHARD, Gustavo Galdino Rodrigues; LIMA, Alexandra Amaro de; NASCIMENTO, Manoel Henrique Reis; ALENCAR, David Barbosa de; http://lattes.cnpq.br/4890967546423188; http://lattes.cnpq.br/6915958689972413This document describes a computer program registered under number BR512023002419-8, whose objective is to predict the occurrence of rain using artificial neural networks. The model developed applies artificial intelligence techniques to analyze meteorological data, allowing for more accurate and efficient forecasts. The tool is useful for meteorologists, researchers and institutions that need reliable climate forecasts for planning and decision making. The program was created to improve the accuracy of rain forecasts, contributing to the mitigation of risks associated with extreme weather events. Program registration is valid for 50 years from January 1, 2023.