Algoritmi | User | Pedro José Costa de Oliveira
Pedro José Costa de Oliveira
Pedro José Costa de Oliveira
At LASI
Other with MSc
Member of the CALG R&D Unit
Academic Degree
MSc
Current Position
Other at Escola de Engenharia da Universidade do Minho
Personal Webpage
Personal Email
pedro.jose.oliveira@lasi.iotech.ptOrcid
0000-0001-7143-5413Researcher ID
FCT Public Key
J8250917AqLz
Ciência ID
Google Scholar
About Me 
Pedro Oliveira is a PhD student in Informatics, at the School of Engineering of the University of Minho, in Braga, Portugal. He is also a researcher at the ALGORITMI Center, namely in the Synthetic Intelligence Lab (ISLAB) research group. He holds a Master's degree in Informatics Engineering from the same university. His research interests include Recurrent Neural Networks, Predictive Models, Time Series Problems, Anomaly Detection, and Decision Support Systems.
Publications (19)
Employing Explainable AI Techniques for Air Pollution: An Ante-Hoc and Post-Hoc Approach in Dioxide Nitrogen Forecasting
2025 | book-chapter
A Self-Organizing Map Clustering Approach to Support Territorial Zoning
2024 | book-chapter
Assessment of LSTM and GRU Models to Predict the Electricity Production from Biogas in a Wastewater Treatment Plant
Lecture Notes in Networks and Systems
2024 | journal-article
Geothermal Heat Exchanger’s Temperature Input Sensor Prediction Based on Deep Learning Modelling Technique
2024 | book-chapter
Next-Generation Surveillance: Exploring the Intersection of Artificial Intelligence and Security
Intelligent Systems and Applications: Proceedings of the Intelligent Systems Conference (IntelliSys). Lecture Notes in Networks and Systems (1066)
2024 | journal-article
Conception and evaluation of anomaly detection models for monitoring analytical parameters in wastewater treatment plants
AI Communications
2023 | journal-article
A Review of Computational Modeling in Wastewater Treatment Processes
ACS ES&T Water
2023 | journal-article
A Framework for Representing, Building and Reusing Novel State-of-the-Art Three-Dimensional Object Detection Models in Point Clouds Targeting Self-Driving Applications
Sensors
2023 | journal-article
Cost-Sensitive Learning and Threshold-Moving Approach to Improve Industrial Lots Release Process on Imbalanced Datasets
2023 | book-chapter
Image Classification Understanding with Model Inspector Tool
Hybrid Artificial Intelligent Systems: International Conference, HAIS, Proceedings. Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence (14001)
2023 | journal-article
Using Deep Learning Models to Predict the Electrical Conductivity of the Influent in a Wastewater Treatment Plant
2023 | book-chapter
A Tree-Based Approach to Forecast the Total Nitrogen in Wastewater Treatment Plants
2022 | book-chapter
Applying Anomaly Detection Models in Wastewater Management: A Case Study of Nitrates Concentration in the Effluent
2022 | book-chapter
Forecasting Energy Consumption of Wastewater Treatment Plants with a Transfer Learning Approach for Sustainable Cities
Electronics
2021 | journal-article
Evaluating Unidimensional Convolutional Neural Networks to Forecast the Influent pH of Wastewater Treatment Plants
2021 | book-chapter
Multi-step ultraviolet index forecasting using long short-term memory networks
Advances in Intelligent Systems and Computing
2021 | book
Unsupervised Learning Approach for pH Anomaly Detection in Wastewater Treatment Plants
2021 | book-chapter
Using Machine Learning to Forecast Air and Water Quality
International Conference on Agents and Artificial Intelligence (ICAART)
2021 | conference-paper
A Deep Learning Approach to Forecast the Influent Flow in Wastewater Treatment Plants
2020 | book-chapter
Employing Explainable AI Techniques for Air Pollution: An Ante-Hoc and Post-Hoc Approach in Dioxide Nitrogen Forecasting
2025 | book-chapter
A Self-Organizing Map Clustering Approach to Support Territorial Zoning
2024 | book-chapter
Assessment of LSTM and GRU Models to Predict the Electricity Production from Biogas in a Wastewater Treatment Plant
Lecture Notes in Networks and Systems
2024 | journal-article
Geothermal Heat Exchanger’s Temperature Input Sensor Prediction Based on Deep Learning Modelling Technique
2024 | book-chapter
Next-Generation Surveillance: Exploring the Intersection of Artificial Intelligence and Security
Intelligent Systems and Applications: Proceedings of the Intelligent Systems Conference (IntelliSys). Lecture Notes in Networks and Systems (1066)
2024 | journal-article
Conception and evaluation of anomaly detection models for monitoring analytical parameters in wastewater treatment plants
AI Communications
2023 | journal-article
A Review of Computational Modeling in Wastewater Treatment Processes
ACS ES&T Water
2023 | journal-article
A Framework for Representing, Building and Reusing Novel State-of-the-Art Three-Dimensional Object Detection Models in Point Clouds Targeting Self-Driving Applications
Sensors
2023 | journal-article
Cost-Sensitive Learning and Threshold-Moving Approach to Improve Industrial Lots Release Process on Imbalanced Datasets
2023 | book-chapter
Image Classification Understanding with Model Inspector Tool
Hybrid Artificial Intelligent Systems: International Conference, HAIS, Proceedings. Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence (14001)
2023 | journal-article
Using Deep Learning Models to Predict the Electrical Conductivity of the Influent in a Wastewater Treatment Plant
2023 | book-chapter
A Tree-Based Approach to Forecast the Total Nitrogen in Wastewater Treatment Plants
2022 | book-chapter
Applying Anomaly Detection Models in Wastewater Management: A Case Study of Nitrates Concentration in the Effluent
2022 | book-chapter
Forecasting Energy Consumption of Wastewater Treatment Plants with a Transfer Learning Approach for Sustainable Cities
Electronics
2021 | journal-article
Evaluating Unidimensional Convolutional Neural Networks to Forecast the Influent pH of Wastewater Treatment Plants
2021 | book-chapter
Multi-step ultraviolet index forecasting using long short-term memory networks
Advances in Intelligent Systems and Computing
2021 | book
Unsupervised Learning Approach for pH Anomaly Detection in Wastewater Treatment Plants
2021 | book-chapter
Using Machine Learning to Forecast Air and Water Quality
International Conference on Agents and Artificial Intelligence (ICAART)
2021 | conference-paper
A Deep Learning Approach to Forecast the Influent Flow in Wastewater Treatment Plants
2020 | book-chapter
