Stéfano Frizzo Stefenon

Orcid: 0000-0002-3723-616X

According to our database1, Stéfano Frizzo Stefenon authored at least 26 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting.
Appl. Intell., 2024

2023
Video-Based Human Activity Recognition Using Deep Learning Approaches.
Sensors, July, 2023

Group Method of Data Handling Using Christiano-Fitzgerald Random Walk Filter for Insulator Fault Prediction.
Sensors, July, 2023

Interpretable visual transmission lines inspections using pseudo-prototypical part network.
Mach. Vis. Appl., May, 2023

Optimized EWT-Seq2Seq-LSTM with Attention Mechanism to Insulators Fault Prediction.
Sensors, March, 2023

Machine Fault Detection Using a Hybrid CNN-LSTM Attention-Based Model.
Sensors, 2023

Complex graph neural networks for medication interaction verification.
J. Intell. Fuzzy Syst., 2023

Detection and classification of cracks and potholes in road images using texture descriptors.
J. Intell. Fuzzy Syst., 2023

Recency, Frequency, Monetary Value, Clustering, and Internal and External Indices for Customer Segmentation from Retail Data.
Algorithms, 2023

Practical Validation of a New Analytical Method for the Analysis of Power Transmission Lines at Steady State.
IEEE Access, 2023

Towards Automatic Digitalization of Railway Engineering Schematics.
Proceedings of the AIxIA 2023 - Advances in Artificial Intelligence, 2023

2022
Semi-ProtoPNet Deep Neural Network for the Classification of Defective Power Grid Distribution Structures.
Sensors, 2022

Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models.
Sensors, 2022

Wavelet LSTM for Fault Forecasting in Electrical Power Grids.
Sensors, 2022

Comparison of artificial intelligence techniques to failure prediction in contaminated insulators based on leakage current.
J. Intell. Fuzzy Syst., 2022

Long short-term memory stacking model to predict the number of cases and deaths caused by COVID-19.
J. Intell. Fuzzy Syst., 2022

Low-Cost CNN for Automatic Violence Recognition on Embedded System.
IEEE Access, 2022

Analysis of the Ultrasonic Signal in Polymeric Contaminated Insulators Through Ensemble Learning Methods.
IEEE Access, 2022

2021
Inspection of Electrical Power Distribution Grid (South of Brazil).
Dataset, December, 2021

Static Attitude Determination Using Convolutional Neural Networks.
Sensors, 2021

Photovoltaic power forecasting using wavelet Neuro-Fuzzy for active solar trackers.
J. Intell. Fuzzy Syst., 2021

Classification of Contaminated Insulators Using k-Nearest Neighbors Based on Computer Vision.
Comput., 2021

Hybrid Wavelet Stacking Ensemble Model for Insulators Contamination Forecasting.
IEEE Access, 2021

Practical Aspects of the Skin Effect in Low Frequencies in Rectangular Conductors.
IEEE Access, 2021

2020
Optimized Ensemble Extreme Learning Machine for Classification of Electrical Insulators Conditions.
IEEE Trans. Ind. Electron., 2020

2019
Fault diagnosis of insulators from ultrasound detection using neural networks.
J. Intell. Fuzzy Syst., 2019


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