Analysis of the Ultrasonic Signal in Polymeric Contaminated Insulators Through Ensemble Learning Methods-Reference-Cited by-同舟云学术

Analysis of the Ultrasonic Signal in Polymeric Contaminated Insulators Through Ensemble Learning Methods

Published:2022 Issue: Volume:10 Page:33980-33991
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Stefenon Stefano Frizzo¹,Bruns Rafael²^ORCID,Sartori Andreza²^ORCID,Meyer Luiz Henrique²^ORCID,Ovejero Raul Garcia³,Leithardt Valderi Reis Quietinho⁴^ORCID

Affiliation:

1. Fondazione Bruno Kessler, Povo, Trento, Italy

2. Department of Electrical Engineering, Regional University of Blumenau, Blumenau, Brazil

3. Expert Systems and Applications Laboratory, E.T.S.I.I. of Béjar, Universidad de Salamanca, Salamanca, Spain

4. COPELABS, Lusófona University of Humanities and Technologies, Lisboa, Portugal

Funder

Spanish Agencia Estatal de Investigación

Project Monitoring and Tracking Systems for the Improvement of Intelligent Mobility and Behavior Analysis

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/9668973/09739678.pdf?arnumber=9739678

Reference83 articles.

1. A Nonlinear Autoregressive Modeling Approach for Forecasting Groundwater Level Fluctuation in Urban Aquifers

2. Long short-term memory stacking model to predict the number of cases and deaths caused by COVID-19

3. An Improved Selective Ensemble Learning Method for Highway Traffic Flow State Identification

4. Towards an Ensemble Machine Learning Model of Random Subspace Based Functional Tree Classifier for Snow Avalanche Susceptibility Mapping

5. Belief-Rule-Base Inference Method Based on Gradient Descent With Momentum

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