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Publicações

2025

Budget-constrained Collaborative Renewable Energy Forecasting Market

Autores
Gonçalves, C; Bessa, RJ; Teixeira, T; Vinagre, J;

Publicação
CoRR

Abstract

2025

An explainable machine learning framework for railway predictive maintenance using data streams from the metro operator of Portugal

Autores
García-Méndez, S; de Arriba-Pérez, F; Leal, F; Veloso, B; Malheiro, B; Burguillo-Rial, JC;

Publicação
SCIENTIFIC REPORTS

Abstract
The public transportation sector generates large volumes of sensor data that, if analyzed adequately, can help anticipate failures and initiate maintenance actions, thereby enhancing quality and productivity. This work contributes to a real-time data-driven predictive maintenance solution for Intelligent Transportation Systems. The proposed method implements a processing pipeline comprised of sample pre-processing, incremental classification with Machine Learning models, and outcome explanation. This novel online processing pipeline has two main highlights: (i) a dedicated sample pre-processing module, which builds statistical and frequency-related features on the fly, and (ii) an explainability module. This work is the first to perform online fault prediction with natural language and visual explainability. The experiments were performed with the Metropt data set from the metro operator of Porto, Portugal. The results are above 98 % for f-measure and 99 % for accuracy. In the context of railway predictive maintenance, achieving these high values is crucial due to the practical and operational implications of accurate failure prediction. In the specific case of a high f-measure, this ensures that the system maintains an optimal balance between detecting the highest possible number of real faults and minimizing false alarms, which is crucial for maximizing service availability. Furthermore, the accuracy obtained enables reliability, directly impacting cost reduction and increased safety. The analysis demonstrates that the pipeline maintains high performance even in the presence of class imbalance and noise, and its explanations effectively reflect the decision-making process. These findings validate the methodological soundness of the approach and confirm its practical applicability for supporting proactive maintenance decisions in real-world railway operations. Therefore, by identifying the early signs of failure, this pipeline enables decision-makers to understand the underlying problems and act accordingly swiftly.

2025

Developing Strategies for Sustainable and Resilient Supply Chains

Autores
Zimmermann, R; Senna, P; Pereira, P; Fornasiero, R; Zangiacomi, A; Betto, F;

Publicação
HUMAN-CENTRED TECHNOLOGY MANAGEMENT FOR A SUSTAINABLE FUTURE, VOL 3, IAMOT 2024

Abstract
Although recent studies have recognised that sustainability and resilience should be considered part of the same efforts in the context of a transformative perspective, research combining both constructs is still scarce. This study adopts a comprehensive perspective that acknowledges that maintaining business continuity (through persisting, adapting or transforming), to reduce long-term risks is a common aspect of sustainability and resilience. It aims to identify strategies to be applied by companies and SCs in order to increase their social, environmental and economic sustainability, as well as their ability to be ready, respond and recover from unexpected events. Considering that the actions and strategies to deal with sustainability and resilience can be different and eventually paradoxical, this work applies the organizational ambidexterity approach as a theoretical background.

2025

A Deep Learning Framework for Medium-Term Covariance Forecasting in Multi-Asset Portfolios

Autores
Reis, P; Serra, AP; Gama, J;

Publicação
CoRR

Abstract

2025

Virtual reality solution to promote adapted physical activity in older adults: outcomes from VR2Care project exploratory study

Autores
De Luca, V; Qbilat, M; Cuomo, A; Bianco, A; Cesaroni, F; Lanari, C; van Berlo, A; Mota, T; Pannese, L; Brandstötter, M; Arendse, M; Mota, V; van Staalduinen, W; Paredes, H; Iaccarino, G; Illario, M;

Publicação
FRONTIERS IN PUBLIC HEALTH

Abstract
Background Insufficient physical activity is one of the leading risk factors for death worldwide. Regular exercise can improve physical performance and quality of life, reduce the risks of falls and depressive symptoms, and reduce the likelihood of cognitive decline in older adults. Virtual reality (VR) and serious games (SG) are promising tools to improve physical and cognitive functioning. As part of the VR2Care project activities, four pilot sites explored the capabilities of the VR environment in a remote psychomotor training with SG and a hybrid approach with local groups of older adults performing physical activity.Objective The present study aimed to explore and measure the impact on older adults' quality of life and physical activity of using VR2Care solution and the level of usability, satisfaction and acceptance.Methods The study is a mixed method study, using qualitative and quantitative surveys to evaluate quality of life and physical activity of older users, and usability, satisfaction and acceptance of the solution. The data collection is a mix of investigator site data entry and users' self-reported data through the solutions or through online and paper-based means. Data were collected at baseline and after a follow-up of 6 weeks. Data are expressed as mean +/- standard deviation (SD) unless otherwise stated. Within the group, baseline to end of observation differences were assessed by paired sample t-test. A p = 0.05 was considered significant.Results No significant improvements in quality of life and physical activity were found. Little improvement, although not significant, in physical activity was found, comparing the Total MET average value of users who participated in phase I and II, therefore using SmartAL and Rehability. Little improvement, although not significant, in physical activity applies in >= 76 population. Users' feedback on usability, satisfaction and acceptance of VR2Care is generally positive. VR2Care was appreciated mostly for its usefulness in managing physical activity and the capacity to influence the consistency of attending physical activity sessions as prescribed by doctors.Conclusion Our results suggest that randomized controlled trial will be needed to assess correlations between specific features of the solution and health outcomes.

2025

Redesign of Circular Products: An Analysis of the Fashion Industry

Autores
Dalmarco, G; Stacchetti, F; Ines, A; Zimmermann, R;

Publicação
HUMAN-CENTRED TECHNOLOGY MANAGEMENT FOR A SUSTAINABLE FUTURE, VOL 3, IAMOT 2024

Abstract
The concept of circular economy aims to extend the end-of-life of products by reducing or reusing products and materials, being Design a central part of a successful circular product. In line with the 6Rs strategy for circularity, Redesign (applied by eco-design practices) allows the creation of products that can be easily repaired, upgraded, or disassembled, extending their life, and fomenting a circular economy. For that reason, the aim of this research is to analyse the role of Redesign in the circularity of footwear products. Exploratory qualitative research was conducted, with five in-depth interviews with founders and R&D managers of prominent footwear organizations. Results demonstrate that most interviewed companies, which were born circular, considered Redesign practices from the definition of the product concept. In conclusion, looking at Redesign strategies holistically and through its specific sub-relationships have a major impact on the company's circularity practises.

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