An Intelligent Quadcopter Unbalance Classification Method Based on Stochastic Gradient Descent Logistic Regression-Reference-Cited by-同舟云学术

An Intelligent Quadcopter Unbalance Classification Method Based on Stochastic Gradient Descent Logistic Regression

Published:2022-12-27 Issue: Volume: Page:
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Container-title:2022 3rd Information Technology To Enhance e-learning and Other Application (IT-ELA)
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Author:

Al-Haddad Luttfi Ahmed¹^ORCID,Jaber Alaa Abdulhady¹

Affiliation:

1. University of Technology,Mechanical Engineering Department,Baghdad,Iraq

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10107826/10107917/10107922.pdf?arnumber=10107922

Reference23 articles.

1. Integration of Machine Learning (ML) and Finite Element Analysis (FEA) for Predicting the Failure Modes of a Small Horizontal Composite Blade;ogaili;International Journal of Renewable Energy Research (IJRER),2022

2. Bearings Health Monitoring Based on Frequency-Domain Vibration Signals Analysis

3. Stochastic Gradient Descent Tricks

4. The optimum selection of wavelet transform parameters for the purpose of fault detection in an industrial robot

5. Bearing Fault Diagnosis Using Motor Current Signature Analysis and the Artificial Neural Network

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