81 documents found, page 1 of 9
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...
A deep learning-based model to predict nitrogen dioxide in urban environments
Oliveira, P.; Díaz-Longueira, Antonio; Marcondes, Francisco Supino; Durães, Dalila; Calvo-Rolle, José Luis; Jove, Esteban; Novais, PauloNowadays, our society faces several problems regarding the environmental sustainability of our planet. One of these problems, which severely impacts human lives, such as climate change, is air pollution. Air pollution in urban environments is derived from road transport and different economic activities and directly impacts human health. Then, air quality monitoring stations are essential to determine potential...
Exploring the impact of depression, anxiety, stress, academic engagement, and d...
Sinval, J.; Oliveira, P.; Novais, F.; Almeida, C. M.; Telles-Correia, D.Background Depression, anxiety, and stress (DAS) have been linked to poor academic outcomes. This study explores the relationships among DAS, academic engagement, dropout intentions, and academic performance — measured by Grade Point Average (GPA) — in medical students. It aims to understand how these factors relate to each other and predict academic performance. Methods Data were collected from 351 medical stu...
Employing explainable AI techniques for air pollution: an ante-hoc and post-hoc...
Oliveira, P.; Franco, Francisco; Bessa, Afonso; Durães, Dalila; Novais, PauloWith the advancement of Artificial Intelligence (AI) techniques in different areas of our society, namely with the use of Machine and Deep Learning models, some challenges must be faced. One of these challenges is responding to the lack of transparency in these models, which makes it difficult to explain the results they obtained. This research centres on predicting the concentration of nitrogen dioxide (NO2), ...
Conception and evaluation of anomaly detection models for monitoring analytical...
Oliveira, P.; Duarte, Maria Salomé Lira; Novais, PauloThe exponential growth of technology in recent decades has led to the emergence of some challenges inherent to this growth. One of these challenges is the enormous amount of data collected by the different sensors in our society, namely in management processes such as Wastewater Treatment Plants (WWTPs). These infrastructures comprise several processes to treat wastewater and discharge clean water in water cour...
Geothermal heat exchanger’s temperature input sensor prediction based on deep l...
Oliveira, P.; Arcano-Bea, Paula; Marcondes, Franciso S.; Calvo-Rolle, José Luis; Novais, Paulo; Jove, EstebanThe goal of this study was to test many models in order to check which one better predicted the heat exchanger of a bioclimatic building. A number of regression models, pre-processing methods, and data analyses are compared in the study to forecast the input collector temperature of the heat pump. Specifically, three different techniques have been considered in this research work: Multilayer Perceptrons, Long S...
AR smart glasses: The feeling of groundedness mediator effect
Quintal, S.; Ramos, R. F.; Rita, P.; Oliveira, P.Augmented Reality (AR) smart glasses strengthen user interaction by merging real-world visuals with digital information. This study explores the impact of wearability, usability, and social influence on the feeling of groundedness and purchase intentions for AR smart glasses moderated by privacy concerns. Text mining and PLS-SEM were employed to analyze 3,164 Amazon smart glasses online reviews. Results suggest...
Correlates of burnout and dropout intentions in medical students: A cross-secti...
Sinval, J.; Oliveira, P.; Novais, F.; Almeida, C. M.; Telles-Correia, D.Background Burnout is a pervasive issue among medical students, exhibiting a high prevalence that jeopardizes their academic success and may also predispose them to more severe affective disorders such as depression. This study aims to explore the complex relationships between psychological capital (PsyCap), general social support, educational satisfaction, and burnout, and how these factors collectively influe...
New decision support system for biogas and electricity forecast in wastewater t...
Martins, Gilberto; Duarte, Maria Salomé Lira; Oliveira, P.; Dias, A.; Marcondes, Francisco Supino; Pereira, M. A.; Novais, PauloAnaerobic digestion processes are often implemented by wastewater treatment plants (WWTPs) to stabilize and decrease the organic content of primary and secondary sludges. Additionally, this process allows to increase the energetic efficiency of WWTPs. Data from a digestor of a WWTP from the North of Portugal was used to study and design two machine learning models, LSTM-based and GRU-based, to predict energy pr...
Laser scanner in construction quality control of steel industrial buildings
Oliveira, R.; Ribeiro, D.; Oliveira, P.; Gavina, R.Currently, digital technologies provide engineers with the ability to improve quality control in civil engineering and construction. In this industry, structural quality control aims to prevent deviations that may occur in the assembly of the structure, to guarantee compliance with the essential requirements for its operation. In this context, an attempt was made to learn whether the application of digital tech...