90 documents found, page 1 of 9
Profiling Decision-Making Styles Under Healthcare Resource Scarcity: An Interdi...
Pinho, Micaela; Leal, Fátima; Miguel, IsabelScarcity of healthcare resources requires prioritisation decisions that raise complex ethical, economic, and social challenges. While normative frameworks provide guidance on how such decisions ought to be made, growing evidence suggests that individuals differ substantially in how they approach morally charged allocation choices. This study investigates heterogeneity in decision-making styles and support for h...
Predictive Maintenance Using Autoencoders and Messaging Systems
Carvalho, Rui; Sousa, Diogo; Leal, FátimaThis article presents an anomaly detection system for bearing data, leveraging Apache Kafka for efficient data streaming and an LSTM autoencoder. The system relies on a data producer that reads bearing vibration data, computes the Root Mean Square values, and streams both raw and processed data to a Kafka topic. The consumer processes this data, storing the raw values in a PostgreSQL database, and performs anom...
Identification and explanation of disinformation in wiki data streams
Arriba-Pérez, Francisco de; García-Méndez, Silvia; Leal, Fátima; Malheiro, Benedita; Burguillo, Juan C.Social media platforms, increasingly used as news sources for varied data analytics, have transformed how information is generated and disseminated. However, the unverified nature of this content raises concerns about trustworthiness and accuracy, potentially negatively impacting readers’ critical judgment due to disinformation. This work aims to contribute to the automatic data quality validation field, addres...
An explainable machine learning framework for railway predictive maintenance us...
García-Méndez, Silvia; Arriba-Pérez, Francisco de; Leal, Fátima; Veloso, Bruno; Malheiro, Benedita; Burguillo-Rial , Juan CarlosThe 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-process...
2.° Relatório intercalar. Projeto Mochila Leve (2023/2024)
Fialho, Isabel; Tirapicos, Filipa; Cristóvão, Ana Maria; Rebelo, Hugo; Leal, Fátima; Gonçalves, Teresa; Costa, Paulo; Cid, Marília; Coppi, MarceloO presente relatório – 2.o Relatório Intercalar Projeto Mochila Leve -, é um dos produtos da Tarefa 6. Elaboração dos relatórios (Quadro 2) que reúne informação recolhida no âmbito da Tarefa 5. Monitorização (Quadro 1), em concreto, os dados dos agrupamentos participantes no Projeto Mochila Leve (PML), referentes ao ano letivo de 2023/2024, fornecidos pela coordenação do projeto, a sistematização dos Planos de ...
Unraveling emotions with pre-trained models
Pajón-Sanmartín, Alejandro; Arriba-Pérez, Francisco de; García-Méndez, Silvia; Leal, Fátima; Malheiro, Benedita; Burguillo-Rial, Juan CarlosTransformer models have significantly advanced the field of emotion recognition. However, there are still open challenges when exploring open-ended queries for Large Language Models (LLMs). Although current models offer good results, automatic emotion analysis in open texts presents significant challenges, such as contextual ambiguity, linguistic variability, and difficulty interpreting complex emotional expres...
Identification and explanation of disinformation in wiki data streams
Arriba-Pérez, Francisco de; García-Méndez, Silvia; Leal, Fátima; Malheiro, Benedita; Burguillo, Juan C.Social media platforms, increasingly used as news sources for varied data analytics, have transformed how information is generated and disseminated. However, the unverified nature of this content raises concerns about trustworthiness and accuracy, potentially negatively impacting readers’ critical judgment due to disinformation. This work aims to contribute to the automatic data quality validation field, addres...
An explainable machine learning framework for railway predictive maintenance us...
García-Méndez, Silvia; Arriba-Pérez, Francisco de; Leal, Fátima; Veloso, Bruno; Malheiro, Benedita; Burguillo-Rial, Juan CarlosThe 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-process...
An intelligent community-based system for healthcare prioritisation
Pinho, Micaela; Leal, FátimaHealthcare rationing is unavoidable in systems constrained by limited resources. While decisions about who should be treated are ethically complex, they must reflect not only efficiency concerns but also socially accepted values. This study aims to develop a multi-criteria decision-support system - Vital Priority System, that prioritise patients using a Random Forest algorithm trained on multiple rationing crit...
The European Union’s Potential in Mitigating Climate Change Caused by Tourism: ...
Pinho, Micaela; Leal, FátimaClimate change is now a global phenomenon with severe social and economic implications, including for tourism. Tourism is currently one of the most dynamic economic sectors in the world and one of the main ones responsible for greenhouse gas emissions. At the same time as it contributes to global warming, the tourism sector is also one of the primary victims of climate change. Strengthening climate change mitig...