Augmented Reality Maintenance Assistant Using YOLOv5 by Ana Malta, Mateus Mendes, Torres Farinha

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Augmented Reality in Maintenance—History and Perspectives by Ana Malta, Torres Farinha, Mateus Mendes

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Fault Detection and Prediction for Power Transformers Using Fuzzy Logic and Neural Networks by Balduíno César Mateus, José Torres Farinha, Mateus Mendes

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Wind Farm and Resource Datasets: A Comprehensive Survey and Overview by Diogo Menezes, Mateus Mendes, Jorge Alexandre Almeida, Torres Farinha

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Stochastic versus Fuzzy Models—A Discussion Centered on the Reliability of an Electrical Power Supply System in a Large European Hospital by Constâncio António Pinto, José Torres Farinha, Hugo Raposo, Diego Galar

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Increasing the Reliability of an Electrical Power System in a Big European Hospital through the Petri Nets and Fuzzy Inference System Mamdani Modelling by Constâncio António Pinto, José Torres Farinha, Sarbjeet Singh, Hugo Raposo

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Anticipating Future Behavior of an Industrial Press Using LSTM Networks by Balduíno César Mateus, Mateus Mendes, José Torres Farinha, António Marques Cardoso

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Study of the Condition of Forest Fire Fighting Vehicles by Filipe Silva, Jorge Raposo, José Torres Farinha, Hugo Raposo, Luís Reis

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Reserve fleet indexed to exogenous cost variables by Hugo David Nogueira Raposo, José Manuel Torres Farinha, Luís Andrade Ferreira, Diego Galar

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Comparing LSTM and GRU Models to Predict the Condition of a Pulp Paper Press by Balduíno César Mateus, Mateus Mendes, José Torres Farinha, Rui Assis, António Marques Cardoso

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An Integrated Fuzzy Fault Tree Model with Bayesian Network-Based Maintenance Optimization of Complex Equipment in Automotive Manufacturing by Hamzeh Soltanali, Mehdi Khojastehpour, José Torres Farinha, José Edmundo de Almeida e Pais

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Maintenance Prediction through Sensing Using Hidden Markov Models—A Case Study by Alexandre Martins, Inácio Fonseca, José Torres Farinha, João Reis, António J. Marques Cardoso

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Online Monitoring of Sensor Calibration Status to Support Condition-Based Maintenance by Alexandre Martins, Inácio Fonseca, José Torres Farinha, João Reis, António J. Marques Cardoso

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Improved GRU prediction of paper pulp press variables using different pre-processing methods by Balduíno César Mateus, Mateus Mendes, José Torres Farinha, António Marques Cardoso, Rui Assis, Hamzeh Soltanali

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Predicting the Health Status of a Pulp Press Based on Deep Neural Networks and Hidden Markov Models by Alexandre Martins, Balduíno Mateus, Inácio Fonseca, José Torres Farinha, João Rodrigues, Mateus Mendes, António Marques Cardoso

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Comparison of Different Features and Neural Networks for Predicting Industrial Paper Press Condition by João Antunes Rodrigues, José Torres Farinha, Mateus Mendes, Ricardo J. G. Mateus, António J. Marques Cardoso

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Forecasting Steel Production in the World—Assessments Based on Shallow and Deep Neural Networks by Balduíno César Mateus, Mateus Mendes, José Torres Farinha, António J. Marques Cardoso, Rui Assis, Lucélio M. da Costa

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Automatic Risk Assessment for an Industrial Asset Using Unsupervised and Supervised Learning by João Antunes Rodrigues, Alexandre Martins, Mateus Mendes, José Torres Farinha, Ricardo J. G. Mateus, Antonio J. Marques Cardoso

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Optimizing the Life Cycle of Physical Assets through an Integrated Life Cycle Assessment Method by José Edmundo de Almeida Pais, Hugo D. N. Raposo, José Torres Farinha, Antonio J. Marques Cardoso, Pedro Alexandre Marques

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