Behaviour of Machine Learning algorithms in the classification of energy consumption in school buildings JosÉ Machado, AntÓnio Chaves, Larissa Montenegro, Carlos Alves, Dalila DurÃes, et al. Logic Journal of the Igpl, 2025 The significance of energy efficiency in the development of smart cities cannot be overstated. It is essential to have a clear understanding of the current energy consumption (EC) patterns in both public and private buildings. One way to achieve this is by employing machine learning classification algorithms, which offer a broader perspective on the factors influencing EC. These algorithms can be applied to real data from databases, making them valuable tools for smart city applications. In this paper, our focus is specifically on the EC of public schools in a Portuguese city, as this plays a crucial role in designing a Smart City. By utilizing a comprehensive dataset on school EC, we thoroughly evaluate multiple ML algorithms. The objective is to identify the most effective algorithm for classifying average EC patterns. The outcomes of this study hold significant value for school administrators and facility managers. By leveraging the predictions generated from the selected algorithm, they can optimize energy usage and, consequently, reduce costs. The use of a comprehensive dataset ensures the reliability and accuracy of our evaluations of various ML algorithms for EC classification.
Harnessing Artificial Intelligence for Personalized E-Commerce Strategies in International Business Expansion José Luís Reis, Pedro Mota Veiga, Vera Silva Carlos, Carlos Alves, Ângela Lima de Sousa Marketing Strategies for the Internationalization of Businesses and Brands, 2025 Artificial Intelligence is reshaping personalized e-commerce and global growth, blending machine learning, predictive analytics, and newer models like LLMs and LAMs is turning shopping into an experience that feels culturally tuned - opening fresh international paths along the way. Studies show ultra-local personalization can boost engagement by 28–42% and reduce market entry timelines by 40–60%. Yet, this advancement brings ethical and operational challenges that differ by region. Based on extensive literature, this work proposes practical - if sometimes messy - frameworks addressing technical, ethical, economic, and legal aspects. Leading brands report NPS increases of 18–35% and internationalization cost cuts of 22–37%. More than automation, AI emerges as a strategic tool, especially when guided by human insight and cultural awareness. Success hinges on balancing global ambitions with local relevance, where AI acts both as a growth driver and a cultural bridge.
Revolutionising the Quality of Life: The Role of Real-Time Sensing in Smart Cities Rui Miranda, Carlos Alves, Regina Sousa, António Chaves, Larissa Montenegro, et al. Electronics Switzerland, 2024 To further evolve urban quality of life, this paper explores the potential of crowdsensing and crowdsourcing in the context of smart cities. To aid urban planners and residents in understanding the nuances of day-to-day urban dynamics, we actively pursue the improvement of data visualisation tools that can adapt to changing conditions. An architecture was created and implemented that ensures secure and easy connectivity between various sources, such as a network of Internet of Things (IoT) devices, to merge with crowdsensing data and use them efficiently. In addition, we expanded the scope of our study to include the development of mobile and online applications, emphasizing the integration of autonomous and geo-surveillance. The main findings highlight the importance of sensor data in urban knowledge. Their incorporation via Tepresentational State Transfer (REST) Application Programming Interface (APIs) improves data access and informed decision-making, and dynamic data visualisation provides better insights. The geofencing of the application encourages community participation in urban planning and resource allocation, supporting sustainable urban innovation.
Survey for Big Data Platforms and Resources Management for Smart Cities Carlos Alves, António Chaves, Carla Rodrigues, Eduarda Ribeiro, António Silva, et al. Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2022
Augmented reality - Military application and validation through the technology acceptance model (TAM) Risti Revista Iberica De Sistemas E Tecnologias De Informacao, 2019
