Registro de programa de computador

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

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Algoritmo de Previsão de Velocidade do Vento - HW+NARX
(Instituto Nacional da Propriedade Industrial (INPI), 2021-06-27) PARENTE, Ricardo Silva; ALENCAR, David Barbosa de; http://lattes.cnpq.br/4890967546423188
This document describes a computer program registered under number BR512023001329-3, which presents an algorithm for forecasting wind speed using a combination of exponential smoothing methods (Holt-Winters, HW) and autoregressive neural networks with exogenous inputs (NARX) . The goal of the program is to improve the accuracy of wind speed predictions, which is crucial for diverse applications such as wind energy and climate monitoring. The combination of HW+NARX methods provides a robust approach, capable of dealing with the variability and complexity of meteorological data. Program registration is valid for 50 years from January 1, 2022.
Algoritmo para otimizar o processo de inspeção de qualidade
(Instituto Nacional da Propriedade Industrial (INPI), 2024-07-22) SOUSA, Marcio Rizonildo Aquino de; SANTOS, Eliton Smith dos; CAMPOS, Paola Souto; NASCIMENTO, Manoel Henrique Reis; ALENCAR, David Barbosa de
Document for the registration of computer software by the National Institute of Industrial Property (INPI), validating the software "Algorithm to optimize the quality inspection process", developed in Python, valid for 50 years.
Modelo autoregressivo não linear com entradas exógenas para previsão do nível do rio no Amazonas
(Instituto Nacional da Propriedade Industrial (INPI), 2024-07-05) LOPES, Gisele de Freitas; NASCIMENTO, Manoel Henrique Reis; ALENCAR, David Barbosa de
Document for the registration of computer software by the National Institute of Industrial Property (INPI), validating the software "Nonlinear autoregressive model with exogenous inputs for predicting river level in the Amazon", developed in MATLAB, valid for 50 years.
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.
Redes neurais artificiais para predição da geração de acetaldeido na resina pet no processo de injeção de pre-formas de embalagens plásticas
(Instituto Nacional da Propriedade Industrial (INPI), 2023-05-16) NASCIMENTO, Mauro Reis; ALENCAR, David Barbosa de; http://lattes.cnpq.br/4890967546423188
Registration of a computer program registered with the National Institute of Industrial Property (INPI), work derived from the dissertation "Artificial neural networks for predicting the generation of acetaldehyde in pet resin in the injection process of plastic packaging preforms".