http://hdl.handle.net/10071/15079 2026-05-25T14:55:59Z http://hdl.handle.net/10071/37352 Título próprio: Analyzing economic and social inequalities in housing: A visual storytelling case study in Portugal Autoria: Crespo, A.; Barateiro, J.; Cardoso, E. Resumo: Housing inequalities remain a major challenge for contemporary urban governance, as they combine economic, social, spatial, and demographic dynamics that are difficult to capture through single indicators. This paper develops a data-driven assessment of housing inequalities in Portugal between 2015 and 2025, drawing on official national and European statistics and applying a Business Intelligence (BI) and urban analytics framework oriented towards policy monitoring. Official data from Statistics Portugal and Eurostat are integrated through an analytical pipeline including automated extraction via public APIs, data enrichment, and visual analytics. The workflow follows a CRISP-DM-inspired structure, creating a set of normalized indicators to capture different dimensions of housing conditions. The results point to a structurally polarized housing market. Housing valuations increased across all regions, but at uneven rates, reinforcing territorial disparities rather than convergence. Metropolitan and tourism-oriented regions experienced faster appreciation and indirect effects, while year-over-year growth in completed dwellings slowed after 2021–2022, indicating an uneven supply response. Beyond its empirical findings, the primary contribution of this study lies in demonstrating how BI and data science methodologies can be operationalized to monitor housing inequalities using official statistics. The proposed framework is replicable and can be adapted to other territorial and policy contexts. 2026-01-01T00:00:00Z http://hdl.handle.net/10071/37325 Título próprio: Enhancing energy management in IoT networks Autoria: Mota, J.; Coutinho, C. Editor: Mateus-Coelho, Nuno; Cunha, Maria Manuela Cruz Resumo: The Internet of Things is nowadays available everywhere, collecting data that can be used for different purposes. These end-devices are available in different formats, and depending on the use case, they need different features in order to function properly. Due to their specific requirements, some of these devices need to be portable, so a battery is an important component. Additionally, choosing the right communication protocol for these particular use cases is essential for establishing a network connection while minimising energy consumption. This will ensure that the collected data is transmitted for further analysis. This paper aims to provide an overview of LoRa, LoRaWAN, and Duty Cycling, along with their advantages and disadvantages in terms of energy efficiency on Internet of Things devices. Lastly, a suggested architectural design is proposed based on an energy-efficiency strategy, and some scenarios are assessed and compared in order to determine which could be preferred when it comes to an energy efficient solution. 2025-01-01T00:00:00Z http://hdl.handle.net/10071/37324 Título próprio: Leveraging cyber resilience using cloud services Autoria: Noronha, L. M.; Coutinho, C. Editor: Coelho, Nuno Mateus; Cunha, Maria Manuela Cruz Resumo: Public cloud services consist of infrastructure, platforms or software hosted by third-parties which are made available over the Internet to end users. Organizations have adopted cloud services when selecting new applications or migrating application workloads to cloud providers, mainly because of their flexibility, scalability, and low entry cost. Security has been a topic of debate because of privacy concerns and the public cloud's inherent exposure to the Internet. The current work intends to assess how cloud services can be a strategic tool in improving an organization's cybersecurity posture. Not only some attack vectors can be reduced but cyber resilience can be setup faster using readily available cloud services. In this article we perform a systematic literature review on these topics, and design a decision support system to help application architects select cloud services from different Cloud Service Providers and make the best use of them to improve an organization's security posture and cyber resilience. 2025-01-01T00:00:00Z http://hdl.handle.net/10071/37312 Título próprio: Safeguarding the future: Forecasting cybersecurity and privacy challenges and solutions in emerging technologies for SMEs Autoria: Campos, D. M.; Coutinho, C. Editor: Mateus-Coelho, Nuno; Cunha, Maria Manuela Cruz Resumo: Small and medium-sized enterprises (SMEs) are increasingly vulnerable to cybersecurity threats, risking their operations and growth. This paper examines SMEs' specific weaknesses and identifies effective protection strategies. Combining quantitative tests and qualitative surveys and interviews, the study highlights key challenges like limited resources, lack of expertise, and emerging technology threats. It investigates the impact of quantum computing, which could compromise current encryption methods, and Artificial Intelligence (AI), which can enhance threat detection. The findings guide SMEs in adopting new technologies, improving employee training, and bolstering cybersecurity. The paper aims to develop tailored cybersecurity plans to ensure SMEs' safety and success in the digital age. 2025-01-01T00:00:00Z