Pedro Oliveira

According to our database, Pedro Oliveira authored at least 18 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Conception and evaluation of anomaly detection models for monitoring analytical parameters in wastewater treatment plants.

Pedro Oliveira, M. Salomé Duarte, Paulo Novais

AI Commun., 2024

Assessment of LSTM and GRU Models to Predict the Electricity Production from Biogas in a Wastewater Treatment Plant.

Pedro Oliveira, Francisco Supino Marcondes, M. Salomé Duarte, Dalila Durães, Gilberto Martins, Paulo Novais

Proceedings of the Good Practices and New Perspectives in Information Systems and Technologies, 2024

A Deep Learning-Based Model to Predict Nitrogen Dioxide in Urban Environments.

Pedro Oliveira, Antonio Díaz-Longueira, Francisco Supino Marcondes, Dalila Durães, José Luís Calvo-Rolle, Esteban Jove, Paulo Novais

Proceedings of the Ambient Intelligence - Software and Applications, 2024

Employing Explainable AI Techniques for Air Pollution: An Ante-Hoc and Post-Hoc Approach in Dioxide Nitrogen Forecasting.

Pedro Oliveira, Francisco Franco, Afonso Bessa, Dalila Durães, Paulo Novais

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024

Efficiency of the Transformer Model in Time Series Forecasting: A Case Study in Wastewater Treatment Plants.

Gonçalo Medeiros, Francisco Supino Marcondes, Pedro Oliveira, José Machado, Paulo Novais

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2024, 2024

Geothermal Heat Exchanger's Temperature Input Sensor Prediction Based on Deep Learning Modelling Technique.

Pedro Oliveira, Paula Arcano-Bea, Francisco Supino Marcondes, José Luís Calvo-Rolle, Paulo Novais, Esteban Jove

Proceedings of the Distributed Computing and Artificial Intelligence, Special Sessions III, 2024

2023

A Framework for Representing, Building and Reusing Novel State-of-the-Art Three-Dimensional Object Detection Models in Point Clouds Targeting Self-Driving Applications.

António Linhares Silva, Pedro Oliveira, Dalila Durães, Duarte Fernandes, Rafael Névoa, João Monteiro, Pedro Melo-Pinto, José Machado, Paulo Novais

Sensors, July, 2023

Using Deep Learning Models to Predict the Electrical Conductivity of the Influent in a Wastewater Treatment Plant.

João Pereira, Pedro Oliveira, M. Salomé Duarte, Gilberto Martins, Paulo Novais

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2023, 2023

Image Classification Understanding with Model Inspector Tool.

Flávio Arthur O. Santos, Maynara Donato de Souza, Pedro Oliveira, Leonardo Nogueira Matos, Paulo Novais, Cleber Zanchettin

Proceedings of the Hybrid Artificial Intelligent Systems - 18th International Conference, 2023

A Self-Organizing Map Clustering Approach to Support Territorial Zoning.

Marcos Aurélio Santos da Silva, Pedro V. de A. Barreto, Leonardo N. Matos, Gastão Florêncio Miranda Jr., Márcia H. G. Dompieri, Fábio R. de Moura, Fabrícia K. S. Resende, Paulo Novais, Pedro Oliveira

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

2022

Applying Anomaly Detection Models in Wastewater Management: A Case Study of Nitrates Concentration in the Effluent.

Pedro Oliveira, M. Salomé Duarte, Paulo Novais

Proceedings of the Advances in Artificial Intelligence - IBERAMIA 2022, 2022

Cost-Sensitive Learning and Threshold-Moving Approach to Improve Industrial Lots Release Process on Imbalanced Datasets.

Armindo Lobo, Pedro Oliveira, Paulo Sampaio, Paulo Novais

Proceedings of the Distributed Computing and Artificial Intelligence, 2022

2021

Evaluating Unidimensional Convolutional Neural Networks to Forecast the Influent pH of Wastewater Treatment Plants.

Pedro Oliveira, Bruno Fernandes, Francisco Aguiar, Maria Alcina Pereira, Paulo Novais

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2021, 2021

Using Machine Learning to Forecast Air and Water Quality.

Carolina Silva, Bruno Fernandes, Pedro Oliveira, Paulo Novais

Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

Unsupervised Learning Approach for pH Anomaly Detection in Wastewater Treatment Plants.

Diogo Gigante, Pedro Oliveira, Bruno Fernandes, Frederico Lopes, Paulo Novais

Proceedings of the Hybrid Artificial Intelligent Systems - 16th International Conference, 2021

A Tree-Based Approach to Forecast the Total Nitrogen in Wastewater Treatment Plants.

Carlos Faria, Pedro Oliveira, Bruno Fernandes, Francisco Aguiar, Maria Alcina Pereira, Paulo Novais

Proceedings of the Distributed Computing and Artificial Intelligence, 2021

2020

A Deep Learning Approach to Forecast the Influent Flow in Wastewater Treatment Plants.

Pedro Oliveira, Bruno Fernandes, Francisco Aguiar, Maria Alcina Pereira, Cesar Analide, Paulo Novais

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

Multi-step Ultraviolet Index Forecasting Using Long Short-Term Memory Networks.

Pedro Oliveira, Bruno Fernandes, Cesar Analide, Paulo Novais

Proceedings of the Distributed Computing and Artificial Intelligence, 2020