Conference In: cienciavitae
V Simpósio Ibero-Africano de Riscos: Território, Desenvolvimento e Tecnologia da Universidade de Cabo Verde
Article In: scopus
Nuclide identification of radioactive sources from gamma spectra using artificial neural networks
Radiation Physics and Chemistry
Master's Thesis
DERAIL-ML: DEtecting RAilway Cyber-physicaL Attacks using Machine Learning
— 2025
Modern railway systems extend far beyond trains, stations, and tracks. They are now digitalised, utilising sensors and actuators, tracking train positions, and controlling track switches. Operations centres coordinate these systems, managing schedules, passenger information, and speed limits, enhanc…
Article In: cienciavitae
Benchmarking Instance-Centric Counterfactual Algorithms for XAI: From White Box to Black Box
ACM Computing Surveys
Master's Thesis
— 2025
Bias in Machine Translation models is a growing concern, particularly when translating into more gender-marked languages, where gender assumptions may be necessary. In such cases, Machine Translation models can perpetuate and even amplify stereotypes, reinforcing harmful patterns of societal discrim…
Book part
Detection and Characterization of Plume-Dominated Wildfires
Technological Innovation for AI-Powered Cyber-Physical Systems - IFIP Advances in Information and Communication Technology
Extreme wildfires are increasingly hazardous, particularly plume-dominated fires, which exhibit unpredictable behavior due to their self-sustaining convective columns. Despite their significance, these fires remain poorly understood, hindered by limited observational data and fragmented remote sensi…
Article In: orcid
Circular Economy and Sustainability
Master's Thesis
— 2025
In the current global context, where the planet faces increasingly severe environmental degradation and surpasses several planetary boundaries, it is essential to rethink how consumer products are designed. This project explores the application of absolute sustainability principles in the redesign …
Master's Thesis
Predictive Modeling of Kidney Stone Composition Using Blood and Urine Biomarkers
— 2025
Patients with recurrent kidney stones face a higher risk of developing Chronic Kidney Disease (CKD), marked by progressive kidney function loss. Identifying stone types typically requires invasive procedures. This study explores a less invasive alternative by analyzing blood and urine biomarkers to …
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