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 (17)
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
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
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
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
