Article detail · 2014
1D-local binary pattern based feature extraction for classification of epileptic EEG signals
YÖKSİS
OpenAlex
SJR Q2
JCR Q1
Citations 280
Top 10%
Percentile 97.6%
FWCI 6.64
- Year
- 2014
- Type
- article
Data source split
- YÖKSİS YÖKSİS article record
- YÖKSİS venue Applied Mathematics and Computation
- Catalog match (ISSN) Applied Mathematics and Computation
- OpenAlex OpenAlex enrichment (abstract, citations, topics)
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Topics
Citations
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280 citations
OpenAlex cited_by_count (cache / database)
60 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).
- Epilepsy Detection by Using Scalogram Based Convolutional Neural Network from EEG Signals 2019
- An improved feature extraction method using texture analysis with LBP for bearing fault diagnosis 2020
- An İmproved Feature Extraction Method Using Texture Analysis with LBP for Bearing Fault Diagnosis 2020
- An improved feature extraction method using texture analysis with LBP for bearing fault diagnosis 2020
- Stacking ensemble based deep neural networks modeling for effective epileptic seizure detection 2020
- Detection of Parkinson s disease by Shifted One Dimensional Local Binary Patterns from gait 2016
- Detection of Parkinson's disease by Shifted One Dimensional Local Binary Patterns from gait 2016
- Detection of Parkinson s disease by Shifted One Dimensional Local Binary Patterns from gait 2016
- An Intelligent Approach for Bearing FaultDiagnosis: Combination of 1D-LBP and GRA 2020
- A new feature extraction approach based on one dimensional gray level co-occurrence matrices for bearing fault classification 2021