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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...
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...
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), ...
Applying multisensor in-car situations to detect violence
Durães, Dalila; Santos, Flavio; Marcondes, Francisco Supino; Hammerschmidt, Niklas; Novais, PauloViolence recognition is challenging because it can be presented in very different forms. For example, it can be present in an image by a person hitting another person or present in audio by a person being rude to another. Thus, audio and video are essential features to be analysed. In the audio approach, speech processing, music, and ambient sound are some of the main points of this problem since finding simila...
Burnout risk profiles in psychology students: an exploratory study with machine...
Pereira, M. Graça; Santos, Fábio Martim Sousa; Magalhães, Renata Sofia Vieira; Rodrigues, Cláudia Isabel Lopes; Araújo, Odete; Durães, DalilaUniversity students are at increased risk of developing burnout and psychological distress from high academic workloads and performance expectations. The purpose of this study is to analyze the relationship between psychological and lifestyle variables and academic burnout, as well as to identify burnout risk profiles in psychology students. This study used a cross-sectional design and included 274 Portuguese p...
Incdualpathnet: a hybrid architecture proposal for predicting energy production...
Oliveira, Pedro José Costa de; Marcondes, Francisco Supino; Duarte, Maria Salomé Lira; Durães, Dalila; Gonçalves, Cristina Isabel BatistaIn recent years, we have seen a growing need for energy, which has had environmental consequences through the use of fossil fuels. Some of the sectors of our society make intensive use of energy, as is the case with wastewater treatment plants (WWTPs). Through anaerobic digestion, these infrastructures can produce energy, therefore improve energy efficiency and decrease the environmental footprint. This study a...
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...
Computational affective knowledge representation for agents located in a multic...
Taverner, Joaquin; Brännström, Andreas; Durães, Dalila; Vivancos, Emilio; Novais, Paulo; Nieves, Juan Carlos; Botti, VicenteIn this paper, we propose a new computational model for affective knowledge representation that will be used for affective agents located in a multicultural environment. To this end, we present the results of two experiments, the first of which determines the most appropriate labels to define the pleasure-arousal dimensions in the culture and language of the agent’s location. As an example, we use the Portugues...
Study of detection object and people with radar technology
Nogueira, Hugo; Durães, Dalila; Novais, PauloStreet monitoring can be used as an excellent tool to decrease the number of incidents by, for example, giving information to street users (pedestrians, vehicles, cyclists, etc.) about the position of other street users and therefore helping prevent any possible harmful situation. Today, with the growing concern about privacy and data protection issues, the use of video and audio has become problematic in terms...
The relevance of deepfakes in the administration of criminal justice
Durães, Dalila; Freitas, Pedro Miguel; Novais, PauloNowadays, it is challenging to distinguish between genuine content created by humans or deepfake created by deepfakes algorithms. Therefore, it is in the interests of society and nations to have systems that can notice and evaluate the content without human intervention. This paper presents the challenges of artificial intelligence, specifically machine learning and deep learning, in the fight against deepfake....