Application of machine learning methods in fault detection and classification of power transmission lines: a survey
The rising development of power systems and smart grids calls for advanced fault diagnosis
techniques to prevent undesired interruptions and expenses. One of the most important part …
techniques to prevent undesired interruptions and expenses. One of the most important part …
Real-time sensing and fault diagnosis for transmission lines
Protection of high voltage transmission lines is one of the crucial problems in the power
system engineering. Accurate and timely detection and identification of transmission line …
system engineering. Accurate and timely detection and identification of transmission line …
A transfer learning-based method to detect insulator faults of high-voltage transmission lines via aerial images: distinguishing intact and broken insulator images
Deep learning methods have shown great promise in high-voltage transmission lines'(TLs')
intelligent inspections. The expansion of power systems, including TLs, has brought the …
intelligent inspections. The expansion of power systems, including TLs, has brought the …
Generalized fault diagnosis method of transmission lines using transfer learning technique
Recent artificial intelligence-based methods have shown great promise in the use of neural
networks for real-time detection of transmission line faults and estimation of their locations …
networks for real-time detection of transmission line faults and estimation of their locations …
Artificial neural networks and their applications to intelligent fault diagnosis of power transmission lines
FM Shakiba - 2022 - search.proquest.com
Over the past thirty years, the idea of computing based on models inspired by human brains
and biological neural networks emerged. Artificial neural networks play an important role in …
and biological neural networks emerged. Artificial neural networks play an important role in …
Discriminating Parkinson's disease using functional connectivity and brain network analysis
D Gellerup - 2016 - mavmatrix.uta.edu
In this study, we explored the use of functional connectivity patterns in fMRI data to classify
subjects on the basis of Parkinson's disease. We explore various brain networks and …
subjects on the basis of Parkinson's disease. We explore various brain networks and …
Artificial neural networks and their applications to intelligent fault diagnosis of power transmission lines
F Mohammadi Shakiba - 2022 - digitalcommons.njit.edu
Over the past thirty years, the idea of computing based on models inspired by human brains
and biological neural networks emerged. Artificial neural networks play an important role in …
and biological neural networks emerged. Artificial neural networks play an important role in …
[LIBRO][B] Assessing the Impact of Principal Component Analysis on Accurately Predicting Melanoma Diagnosis Applied on Different Classification Models
JCO Rivera - 2019 - search.proquest.com
With huge amounts of data at our disposal in the medical field, mathematical models are
built to diagnose diseases. This study focuses on melanoma because it's the type of skin …
built to diagnose diseases. This study focuses on melanoma because it's the type of skin …
[CITAZIONE][C] Assessing the impact of Principal Component Analysis on accurately predicting melanoma diagnosis applied on different classification models
JC Olmedo Rivera - 2019