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Unsupervised anomaly detection in industrial machines supported by vibration an...

Torres, Pedro; Spencer, Geoffrey; Esteves, Arthur; Sousa, Fernando; Pereira, Fernando J.G.; Guerreiro, Rui M.L.

The integration of the use of Artificial Intelligence (AI) in industrial environments often faces the lack of labeled data, as well as historical records. This lack of information becomes a problem when implementing predictive maintenance solutions, particularly in monitoring the condition of industrial machines and automatic fault detection. This work addresses this issue in an industrial scenario, through the...


Portuguese consumers' preference regarding three protected designation of origi...

Fernandes, António; Sousa, Fernando; Aveiro, Dina; Ribeiro, Maria Isabel

Each half carcass was divided into three pieces: a leg, a shoulder, and a rib. So, to identify consumers' preferences about the three cuts, a questionnaire was applied at the National Agricultural Fair between June 3 and 11, 2023, in Santarém, Portugal. The sample was composed of 118 consumers aged between 20 and 81 years. Later, descriptive statistics and the Friedman test were used to analyze the data. The ma...

Date: 2025   |   Origin: Biblioteca Digital do IPB

Deep learning soft-decision GNSS multipath detection and mitigation

Nunes, Fernando; Sousa, Fernando

A technique is proposed to detect the presence of the multipath effect in Global Navigation Satellite Signal (GNSS) signals using a convolutional neural network (CNN) as the building block. The network is trained and validated, for a wide range of /0 values, with a realistic dataset constituted by the synthetic noisy outputs of a 2D grid of correlators associated with different Doppler frequencies and code dela...


2º Encontro de Acessibilidade e Inclusão na Arte e no Património : livro de atas

BAILÃO, ANA; Neves, Ana; Furtado De Oliveira, Alessandra; Alves, Alice Nogueira; Prada, Ana; Pinho, André; Vargas, Carlos; Martins, Carolina

Obra publicada por ocasião do Segundo Encontro de Acessibilidade e Inclusão na Arte e no Património, decorrido nos dias 24 e 25 de junho de 2022 Resumo2ª edição do encontro Acessibilidade e Inclusão na Arte e no Património é uma iniciativa da Faculdade de Belas-Artes da Universidade de Lisboa e do Museu da Farmácia. Tem como objetivo ser um espaço de discussão e troca de ideias, reunindo trabalhos associados à ...


Road infrastructure resilience to climate change: a hydrological-based model fo...

Ramísio, Paulo J.; Vieira, Clara; Sousa, Fernando

Climate change is increasing the incidence and severity of extreme weather events around the world, and flooding is a growing risk factor for road infrastructure drainage systems. Extreme events are becoming more frequent, more intense and of longer duration, and heavy precipitation is no exception, so flooding is also becoming more frequent and of greater magnitude. Hydrodynamic modelling of the hydrological p...


A hydrological-based model for the estimation of road drainage infrastructures ...

Ramísio, Paulo J.; Vieira, Clara; Sousa, Fernando

Flood events are one of the greatest risk factors associated with road drainage infrastructures and climate change has been increasing the uncertainty around hydrological phenomena. Also, the large increase in population, and its concentration in dense urban centers, has promoted a significant increase in soil imperviousness, leading to a scenario where, for the same hyetograph, the resulting hydrograph shows a...


O cidadão no centro do sistema de saúde

Ferreira, Maria Manuela Frederico; Sousa, Fernando; Ramalho, Rafael

Os sistemas de cuidados de saúde estão a enfrentar problemas que emergem da transição epidemiológica, do envelhecimento da população, da urbanização e dos estilos de vida. Os programas de cuidados integrados centrados nas pessoas, não obstante já estarem referenciados desde há algum tempo, só recentemente estão a ser iniciados. Enquanto a experiência de outros países proporciona uma base útil para o planeamento...


Performance of GNSS evil waveform detectors in the presence of multipath

Nunes, Fernando; Sousa, Fernando

The detection of evil waveforms (EWF) in GNSS signals is crucial to refrain from using anomalous signals in the PVT solution, which could degrade significantly its accuracy. The EWF detectors are, in general, based on the computation of the distortion of the code autocorrelation function. Thus, the multipath effect, an independent mechanism that also distorts the autocorrelation shape, can be incorrectly assume...


Signal quality monitoring aspects in GNSS signals affected by evil waveforms

Sousa, Fernando; Nunes, Fernando; Negrinho, António; Fernandes, Pedro; Boto, Pedro

Evil waveforms (EWF) are anomalies in the GNSS transmitted signals that can degrade significantly the accuracy of the PVT solution. The cross-correlation function of the incoming signal disturbed by EWF distortion and the locally-generated code signal is obtained analytically for threat models TM-A, TM-B and TM-C. These results are useful to evaluate efficiently the performance of EWF detectors, namely the dete...


Development of culvert risk condition evaluation for decision-making within roa...

Sousa, Fernando; Dias, Sara; Matos, José C.; Camões, Aires

Regarding road infrastructure management systems, culverts need to be assessed in order to avoid failures and road collapses. So, periodic inspections framework and condition rating implementation has an important role for life service estimation and reliability evaluation. In addition, the risk can be avoided through condition rating merged with culverts exposure and vulnerabilities. This will provide informat...


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