Navegando por Autor "PALADINI, Edson Pacheco"

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Modelo de Certificação Ambiental em Processos e Produtos Eletrônicos
(INSTITUTO DE TECNOLOGIA, 2012) SILVA, Carlos Américo de Souza; LEITE, Jandecy Cabral; PALADINI, Edson Pacheco; VIEIRA, Kellen Bicho; Edinaldo José de Sousa Cunha
The article presents an environmental certification model (Green Partner) for electronic processes and products, aiming to eliminate or control hazardous substances such as heavy metals (cadmium, lead, chromium, and mercury). Based on Sony's SS-00259 standard, the study demonstrates the model's application in a company from the Manaus Industrial Hub, highlighting the integration of management systems (ISO 9001, ISO 14001, OHSAS 18001) and the competitive and sustainable benefits of certification.
Sistema inteligente para classificação de defeitos na manufatura de placas com Rede Neural Convolucional
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SILVA, Carlos Américo de Souza; LEITE, Jandecy Cabral; PENEDO, Jorge Eduardo Santos; PALADINI, Edson Pacheco
Python-based software designed to classify defects in PCB manufacturing using Convolutional Neural Networks (CNN). Applied in Industry 4.0 environments, the system improves fault detection efficiency and reliability in production lines through intelligent pattern recognition.
Sistema inteligente para classificação de falhas na manufatura de placas utilizando algoritmo de Machine Learning KNN
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) PENEDO, Jorge Eduardo Santos; PALADINI, Edson Pacheco; SILVA, Carlos Américo de Souza; LEITE, Jandecy Cabral
Python-based software using the K-Nearest Neighbors (KNN) machine learning algorithm to classify failures in PCB manufacturing lines. Designed for Industry 4.0 environments, it aims to improve predictive failure detection accuracy in automated industrial contexts.
Sistema inteligente para detecção de falhas utilizando algoritmo de Árvore de Decisão
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) PENEDO, Jorge Eduardo Santos; PALADINI, Edson Pacheco; SILVA, Carlos Américo de Souza; LEITE, Jandecy Cabral
Python-based software employing Decision Tree algorithms to detect faults in industrial or computational systems. Designed for Industry 4.0 environments, it aims to enhance operational reliability and enable automated diagnostics.
Sistema inteligente para detecção de falhas utilizando algoritmo de máquina de vetores de suporte – SVM
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SILVA, Carlos Américo de Souza; PALADINI, Edson Pacheco; PENEDO, Jorge Eduardo Santos; LEITE, Jandecy Cabral
Python-based software using Support Vector Machine (SVM) algorithms for fault detection systems. Aimed at intelligent automation in industrial settings, the software enhances predictive decision-making accuracy in the context of Industry 4.0.