22 documents found, page 1 of 3

Sort by Issue Date

Efficiency of the transformer model in time series forecasting: a case study in...

Medeiros, Gonçalo; Marcondes, Francisco Supino; Oliveira, P.; Machado, José Manuel; Novais, Paulo

Global 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, Paulo

Lexicon 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, Paulo

Nowadays, 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...


Applying multisensor in-car situations to detect violence

Durães, Dalila; Santos, Flavio; Marcondes, Francisco Supino; Hammerschmidt, Niklas; Novais, Paulo

Violence 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...


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 Batista

In 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...


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, Paulo

Anaerobic 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...


Online social media agent: an exploratory research

Marcondes, Francisco Supino

Os médias sociais online têm desempenhado um papel central na disseminação de notícias falsas (fake-news), as quais têm contribuído para, entre outras coisas, a erosão da democracia em diversos países. Acredita-se que os agentes de média social (bots) sejam parte importante do esforço de de- sinformação. Neste sentido, a construção de programas com comportamento análogo, mas visando a distribuição de relatórios...


Assessment of LSTM and GRU models to predict the electricity production from bi...

Oliveira, Pedro; Marcondes, Francisco Supino; Duarte, Maria Salomé Lira; Durães, Dalila; Martins, Gilberto; Novais, Paulo

Over the decades, we have faced escalating global energy consumption and its consequential environmental impacts, including climate change and pollution. This study explicitly evaluates the use of Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU) models for predicting electricity production from the biogas produced in a Wastewater Treatment Plant (WWTP) in Portugal. WWTPs play an essential role regar...


Prediction of students’ grades based on non-academic data

Lacerda, Beatriz; Marcondes, Francisco Supino; Lima, Henrique; Durães, Dalila; Novais, Paulo

This study examines the use of machine learning techniques to predict Math and Portuguese grades based on student demographics and survey data regarding their school experiences. Using a sample of 53 middle school students, an accuracy rate of 93% was achieved with a support vector machine model. This paper’s findings suggest that non-academic factors such as school climate and student engagement can have a sig...


SE4AI issues on social media agent design with use cases

Novais, Paulo; Marcondes, Francisco Supino; Almeida, J. J.

This paper is the result of an endeavor of specifying a social media agent through Use Case 2.0 (the “agile Use Case”). That what was expected to be a straightforward specification task revealed issues that subverts a critical foundation of the Use Case conception, nonexistent use-case between the SuD and the actor, yielding to the extensions proposed in this paper.


22 Results

Queried text

Refine Results

Author





















Date







Document Type





Funding



Access rights



Resource


Subject