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Percorrer por autor "Ribeiro, Hugo"

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  • MarinEye – A tool for marine monitoring
    Publication . Martins, Alfredo; Dias, André; Silva, Eduardo; Ferreira, Hugo; Dias, Ireneu; Almeida, José Miguel; Torgo, Luís; Gonçalves, Marco; Guedes, Maurício; Dias, Nuno; Jorge, Pedro; Mucha, Ana Paula; Magalhães, Catarina; Carvalho, Maria de Fátima; Ribeiro, Hugo; Almeida, C. Marisa R.; Azevedo, Isabel; Ramos, Sandra; Borges, Teresa; Leandro, Sérgio Miguel; Maranhão, Paulo; Mouga, Teresa; Gamboa, Roberto; Lemos, Marco; Santos, Antonina dos; Silva, Alexandra; Teixeira, Bárbara Frazão e; Bartilotti, Cátia; Marques, Raquel; Cotrim, Sónia
    This work presents an autonomous system for marine integrated physical-chemical and biological monitoring – the MarinEye system. It comprises a set of sensors providing diverse and relevant information for oceanic environment characterization and marine biology studies. It is constituted by a physical-chemical water properties sensor suite, a water filtration and sampling system for DNA collection, a plankton imaging system and biomass assessment acoustic system. The MarinEye system has onboard computational and logging capabilities allowing it either for autonomous operation or for integration in other marine observing systems (such as Observatories or robotic vehicles. It was designed in order to collect integrated multi-trophic monitoring data. The validation in operational environment on 3 marine observatories: RAIA, BerlengasWatch and Cascais on the coast of Portugal is also discussed.
    2016Artigo científico Acesso restrito Ver mais
  • NutriScan: Nutrition analysis system
    Publication . Ribeiro, Hugo; Soares, Filipe; Mendes, Gonçalo; Serra, João; Neves, Mariana; Gonçalves, Tiago
    Growing public awareness of the connection between diet and health has increased the need for accessible and comprehensible nutritional information. To address this, we developed NutriScan, a web-based expert system designed to provide real-time nutritional analysis of food products. The system integrates barcode recognition with a knowledge base powered by Drools and Prolog inference engines, enabling intelligent reasoning over nutritional data. NutriScan offers detailed product evaluations and scoring. Through personalized user profiles, it identifies potential allergens, generates tailored alerts, and suggests healthier alternatives. The architecture combines both Java (Drools) and Prolog inference back-end components to explore the impact of two different technologies over AI techniques. The system demonstrates the integration of symbolic AI through Prolog-based logical inference and a structured knowledge database, showcasing how expert systems can deliver transparent, rule-driven nutritional analysis and decision support. While both Drools and Prolog can be applied to rule-based reasoning, their underlying mechanisms differ substantially: Prolog employs backward chaining for logic-based inference, facilitating complex reasoning and knowledge representation, whereas Drools applies forward chaining to enable efficient, scalable rule evaluation with greater implementation clarity. Overall, NutriScan leverages expert system principles and AI reasoning to support informed and health-conscious consumer decisions. The successful development and validation of NutriScan highlight the effectiveness of combining distinct inference paradigms to create intelligent, user-oriented decision-support tools.
    2025-12-09Comunicação em conferência Acesso aberto Ver mais
  • Psychosocial risks in remote work: A systematic review
    Publication . Ribeiro, Hugo; Santos, Joana; Carvalhais, Carlos
    The introduction of new information and communication technologies (ICT) into labor relations, led to new ways of working. For instance, remote work has been enabled by advances in digital development that narrowed down distance allowing workers to communicate and perform tasks from nearly anywhere (Ciccarelli, 2022). The different types of ICT-enabled remote work, are giving rise to new challenges in terms of occupational safety and health (OSH) management. The COVID-19 pandemic led to an acceleration in the digitalization of the work (Baig et al. 2020), and brought to light the need to OSH practitioners pay more attention to occupational risks linked with this type of work, particularly psychosocial risks.
    2024-07Documento de conferência Acesso aberto Ver mais