Registro de programa de computador

URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/9

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2021 - 20254

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Data inicial: 2021Assunto: search.filters.subject.Redes Neurais Artificiais

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Agora exibindo 1 - 4 de 4
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    Redes Neurais Artificiais para Comparação entre Propriedades Mecânicas Materiais
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) DIAS, Jonathan Oliveira; LEITE, Jandecy Cabral
    Registration 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).
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    Modelo Híbrido com Redes Neurais Artificiais e Algoritmos Evolucionários para Otimização do Consumo de Combustível em Embarcações que Utilizam Motor de Combustão Interna a Diesel
    (Instituto Nacional da Propriedade Industrial (INPI), 2021-07-27) SIQUEIRA JUNIOR, Paulo Oliveira; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798
    This document describes a computer program registered under number BR512023001328-5, which presents a hybrid model combining artificial neural networks and evolutionary algorithms. The objective of the program is to optimize fuel consumption on vessels that use diesel internal combustion engines. The hybrid approach allows to improve energy efficiency and reduce operational costs, being especially relevant for the naval sector. The program uses advanced artificial intelligence and optimization techniques, providing a powerful tool for marine engineers and operators seeking sustainable and efficient solutions. Program registration is valid for 50 years from January 1, 2022.
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    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/6915958689972413
    This 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.
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    Estimativa do Custo Unitário de Metro Quadrado Habitacional Popular na Cidade de Manaus Baseado nos Principais Insumos, Usando Redes Neurais Artificiais
    (Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-06-12) FROTA, Arlindo Rubens de Oliveira; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798
    This document describes a computer program registered under number BR512023002194-6, whose purpose is to calculate the unit cost per square meter for popular housing in the city of Manaus. The estimation is carried out using artificial neural networks, taking into account the main inputs needed for construction. The program was developed to support analysis and decision-making in housing projects, providing accurate, data-driven estimates for cost planning. Registration is valid for 50 years from January 1, 2023.