649 documents found, page 1 of 65
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...
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...
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...
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...
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...
A self-organizing map clustering approach to support territorial zoning
Silva, Marcos A. S. da; Pedro, Pedro V.; Matos, Leonardo N.; Miranda Júnior, Gastão F.; Dompieri, Márcia H. G.; Moura, Fábio R. deThis work aims to evaluate three strategies for analyzing clusters of ordinal categorical data (thematic maps) to support the territorial zoning of the Alto Taquari basin, MS/MT. We evaluated a model-based method, another based on the segmentation of the multi-way contingency table, and the last one based on the transformation of ordinal data into intervals and subsequent analysis of clusters from a proposed me...
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....
Emotional and mental nuances and technological approaches: Optimising Fact-Chec...
Marcondes, Francisco S.; Barbosa, Maria Araújo; Gala, Adelino de C. O. S.; Almeida, J. J.; Novais, PauloThe issue of the dissemination of fake news has been widely addressed in the literature, but the issue of the dissemination of fact checks to debunk fake news has not received sufficient attention. Fake news is tailored to reach a wide audience, a concern that, as this paper shows, does not seem to be present in fact checking. As a result, fact checking, no matter how good it is, fails in its goal of debunking ...
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...