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Efficiency of the transformer model in time series forecasting: a case study in...
Medeiros, Gonçalo; Marcondes, Francisco Supino; Oliveira, P.; Machado, José Manuel; Novais, PauloGlobal energy demand has been growing over the last decades, having a significant impact on the environment. Alternatives that can mitigate these effects are crucial for the future of our planet. Wastewater Treatment Plants (WWTPs) are a vital infrastructure to manage residual waters, presenting an opportunity for energy production from the released biogas during the anaerobic digestion phase. The present study...
An architectural proposal for injury assessment in occupational medicine
Fernandes, Mariana; Peixoto, Hugo; Machado, José ManuelOccupational medicine focuses on protecting workers’ health, through the prevention of work-related illnesses and diseases, ensuring safety and well-being to perform their functions. This reflects in more productivity and resilience that comes with healthy workers, who experience fewer sick days and have more job satisfaction. Ultimately, this benefits both employees and the companies they work for, contributin...
A comprehensive digital solution for identifying and addressing academic risk i...
Magalhães, Renata; Durães, Dalila; Costa, António; Machado, José Manuel; Novais, PauloSmart schooling seeks to enhance the educational experience through technology. In this effort, a digital educational platform has been developed and empirically tested to identify students at risk of academic failure and dropout, while also promoting effective study and learning habits. Machine learning algorithms are employed to assess academic failure risk based on students’ responses to a questionnaire crea...
Enhancing automotive products with TinyML and MEMS sensors: a preliminary approach
Sousa, Lídia; Silva, Rui; Peixoto, Hugo; Melo-Pinto, Pedro; Costa, André; Melo, César; Delgado, Pedro; Fukuda, Vitor; Machado, José ManuelThe Tiny Machine Learning (TinyML) research field has seen exponential growth in recent years, mostly due to advances in the usage of IoT devices and microcontrollers. Despite major challenges related to hardware constraints, TinyML has been expanding the scope of applications in several domains, with the automotive industry taking special interest in these models for their potential to enhance existing Advance...
Exploring the potential of online social listening for noncommunicable disease ...
Braga, Diana Isabel Moreira; Silva, Inês da; Rosário, Rafaela; Novais, Paulo; Peixoto, Hugo; Machado, José ManuelNoncommunicable diseases (NCDs) are a significant global health challenge, claiming about 41 million lives annually. Early establishment of healthy habits is vital as childhood behaviors often persist into adulthood, affecting long-term well-being. However, pervasive health misinformation on social media exacerbates the challenge of addressing NCDs. The vast online information exposes individuals to misinformat...
Integrating data science and AI in disease screening: A scalable, interoperable...
Sá, Ana Luísa; Peixoto, Hugo; Machado, José ManuelScreening for various diseases is pivotal in early detection and treatment, significantly impacting health outcomes. However, traditional screening methods often rely on specialist interpretation, leading to time-intensive processes, increased healthcare resource utilization, and heightened risk of medical errors. This article introduces a novel software architecture aimed at mitigating these challenges by offe...
Ethical decision-making in Artificial Intelligence: a logic programming approach
Machado, José Manuel; Sousa, Regina; Peixoto, Hugo; Abelha, AntónioThis article proposes a framework for integrating ethical reasoning into AI systems through Continuous Logic Programming (CLP), emphasizing the improvement of transparency and accountability in automated decision-making. The study highlights requirements for AI that respects human values and societal norms by examining concerns such as algorithmic bias, data privacy, and ethical dilemmas in fields like healthca...
Towards a standardized real-time data repository based on laboratory test results
Sousa, Regina; Peixoto, Hugo; Guimarães, Tiago André Saraiva; Abelha, António; Machado, José ManuelHealthcare facilities use huge quantities of real-time and analytical data to discover meaningful information from patient clinical lab results. Advanced analytics and machine learning algorithms help doctors identify and treat patients more accurately. Accurate models must be trained, tested, and validated with enough data. New real-time data allows healthcare practitioners to quickly and accurately analyse pa...
Transforming sales in healthcare: The impact of augmented reality and spatial c...
Alves, Carlos Manuel Ferreira; Reis, José Luís; Machado, José ManuelLately, there has been a surge of interest in spatial computing, which combines AR, VR and other technologies, especially in the health industry. While a lot has been done on its applications in such clinical aspects as surgeries and patient experience enhancement, there is less info on its application in medical equipment marketing in hospitals. This paper presents the current trends and practices in the use o...
Revolutionising the quality of life: the role of real-time sensing in smart cities
Miranda, Rui; Alves, Carlos Manuel Ferreira; Sousa, Regina; Chaves, António; Martinez, Larissa Muriel Montenegro; Peixoto, Hugo; Durães, DalilaTo 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 con...