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Pedro Oliveira 0004
Person information
- affiliation: University of Minho, Algoritmi Research Centre, Guimarães, Portugal
Other persons with the same name
- Pedro Oliveira — disambiguation page
- Pedro Oliveira 0001
(aka: Pedro Nuno Oliveira, Pedro Nuno Ferreira Pinto De Oliveira) — University of Porto, Portugal
- Pedro Oliveira 0002
- Pedro Oliveira 0003
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2020 – today
- 2024
- [j2]Pedro Oliveira
Conception and evaluation of anomaly detection models for monitoring analytical parameters in wastewater treatment plants. AI Commun. 37(3): 443-465 (2024) - [c10]Pedro Oliveira
Geothermal Heat Exchanger's Temperature Input Sensor Prediction Based on Deep Learning Modelling Technique. DCAI (4) 2024: 42-51 - [c9]Gonçalo Medeiros, Francisco Supino Marcondes
Efficiency of the Transformer Model in Time Series Forecasting: A Case Study in Wastewater Treatment Plants. IBERAMIA 2024: 298-309 - [c8]Pedro Oliveira
Employing Explainable AI Techniques for Air Pollution: An Ante-Hoc and Post-Hoc Approach in Dioxide Nitrogen Forecasting. IDEAL (1) 2024: 325-336 - [c7]Pedro Oliveira
A Deep Learning-Based Model to Predict Nitrogen Dioxide in Urban Environments. ISAmI 2024: 317-326 - [c6]Pedro Oliveira
Assessment of LSTM and GRU Models to Predict the Electricity Production from Biogas in a Wastewater Treatment Plant. WorldCIST (2) 2024: 64-73 - 2023
- [j1]António Linhares Silva
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 23(14): 6427 (2023) - [c5]Marcos Aurélio Santos da Silva
A Self-Organizing Map Clustering Approach to Support Territorial Zoning. CIARP 2023: 272-286 - [c4]Flávio Arthur O. Santos
Image Classification Understanding with Model Inspector Tool. HAIS 2023: 611-622 - [c3]João Pereira
Using Deep Learning Models to Predict the Electrical Conductivity of the Influent in a Wastewater Treatment Plant. IDEAL 2023: 130-141
2010 – 2019
- 2017
- [c2]Pedro Oliveira
An Analysis of the Commonality and Differences Between ASPICE and ISO26262 in the Context of Software Development. EuroSPI 2017: 216-227 - 2016
- [c1]Pedro Oliveira
Optimization Techniques to Detect Early Ventilation Extubation in Intensive Care Units. WorldCIST (2) 2016: 599-608
Coauthor Index
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