652 documents found, page 1 of 66
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...
Lexicon annotation with LLM: a proof of concept with ChatGPT
Marcondes, Francisco Supino; Gala, Adelino de C.O.S.; Rodrigues, Manuel; Almeida, J. J.; Novais, PauloLexicon annotation is a critical yet time-consuming task that can hold back the progress of language-intensive projects. This paper explores the potential of Large Language Models (LLMs) to automate lexicon annotation, traditionally performed by humans. We present a proof of concept by evaluating ChatGPT's performance on annotating VADER's sentiment lexicon. Our findings demonstrate that ChatGPT achieves fair p...
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...
Collaborative problem-solving with LLM: a multi-agent system approach to solve ...
Barbosa, Ricardo; Santos, Ricardo; Novais, PauloThis paper explores the utilization of Large Language Models (LLMs) in Multi-Agent Systems (MAS) in scenarios where the agents are expected to collaborate and negotiate their preferences, creating temporary alliances to achieve a common goal (complex task). MAS have been acknowledged for their potential in facilitating collaboration to solve complex problems. However, widespread adoption of MAS is impeded by ch...
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...
Predicting the probability of occupational accidents occurrence in a Portuguese...
Sena, Inês; Silva, Felipe Gustavo Soares da; Braga, Ana Cristina; Fernandes, Florbela P.; Vaz, Clara B.; Pacheco, Maria F.; Novais, Paulo; Lima, JoséWorkplace accidents are a global problem impacting companies and society, as employee well-being and productivity/profit can be affected. Portugal ranks fifth among European Union countries despite efforts to reduce their frequency. Predictive solutions have demonstrated promising results in several economic sectors, but the retail sector, the country's third-largest in accident records, remains unexplored. Thi...
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), ...
Predicting Retail Store Transaction Patterns: A Comparison of ARIMA and Machine...
Vaz, Clara B.; Sena, Inês; Braga, Ana Cristina; Novais, Paulo; Lima, José; Pereira, Ana I.Retail transactions represent sales of consumer goods, or final goods, by consumer companies. This sector faces security challenges due to the hustle and bustle of sales, affecting employees’ workload. In this context, it is essential to estimate the number of customers who will appear in the store daily so that companies can dynamically adjust employee schedules, aligning workforce capacity with expected deman...
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....