A Novel Feature Selection Method for the Detection and Classification of Power Quality Disturbances

International Journal of Simulation Systems Science & Technology ◽

10.5013/ijssst.a.20.01.33 ◽

2020 ◽

Author(s):

Aslam Shaik

Keyword(s):

Feature Selection ◽

Power Quality ◽

Feature Selection Method ◽

Selection Method ◽

Power Quality Disturbances

Download Full-text

Simulation and classification of power quality events based on wavelet transform energy using feature selection method

Journal of Fundamental and Applied Sciences ◽

10.4314/jfas.v8i2s.152 ◽

2016 ◽

Vol 8 (2) ◽

pp. 970 ◽

Cited By ~ 1

Author(s):

J Azarakhsh ◽

Z Raisi

Keyword(s):

Feature Selection ◽

Wavelet Transform ◽

Power Quality ◽

Feature Selection Method ◽

Selection Method

Download Full-text

Combined VMD-SVM based feature selection method for classification of power quality events

Applied Soft Computing ◽

10.1016/j.asoc.2015.10.038 ◽

2016 ◽

Vol 38 ◽

pp. 637-646 ◽

Cited By ~ 72

Author(s):

Ali Akbar Abdoos ◽

Peyman Khorshidian Mianaei ◽

Mostafa Rayatpanah Ghadikolaei

Keyword(s):

Feature Selection ◽

Power Quality ◽

Feature Selection Method ◽

Selection Method

Download Full-text

FW_SFS: A NOVEL FEATURE SELECTION METHOD FOR POWER QUALITY DATA MINING

International Journal of Power and Energy Systems ◽

10.2316/journal.203.2010.2.203-4665 ◽

2010 ◽

Vol 30 (2) ◽

Cited By ~ 2

Author(s):

R. Ahila ◽

M. Sudhakaran ◽

K. Manimala

Keyword(s):

Data Mining ◽

Feature Selection ◽

Power Quality ◽

Feature Selection Method ◽

Selection Method ◽

Quality Data

Download Full-text

Classification of brain MRI using hyper column technique with convolutional neural network and feature selection method

Expert Systems with Applications ◽

10.1016/j.eswa.2020.113274 ◽

2020 ◽

Vol 149 ◽

pp. 113274 ◽

Cited By ~ 3

Author(s):

Mesut Toğaçar ◽

Zafer Cömert ◽

Burhan Ergen

Keyword(s):

Neural Network ◽

Feature Selection ◽

Convolutional Neural Network ◽

Brain Mri ◽

Feature Selection Method ◽

Selection Method

Download Full-text

Cognitive Imagery Classification of EEG Signals using CSP-based Feature Selection Method

IETE Technical Review ◽

10.1080/02564602.2019.1620138 ◽

2019 ◽

Vol 37 (3) ◽

pp. 315-326 ◽

Cited By ~ 6

Author(s):

Neha Hooda ◽

Neelesh Kumar

Keyword(s):

Feature Selection ◽

Feature Selection Method ◽

Selection Method ◽

Eeg Signals

Download Full-text

A Stability Improved Feature Selection Method for Classification of Ship Radiated Noise

OCEANS 2018 MTS/IEEE Charleston ◽

10.1109/oceans.2018.8604495 ◽

2018 ◽

Author(s):

Muhang Zhang ◽

Xiaohong Shen ◽

Lei He

Keyword(s):

Feature Selection ◽

Feature Selection Method ◽

Selection Method ◽

Radiated Noise

Download Full-text

A genetic algorithm based wrapper feature selection method for classification of hyperspectral images using support vector machine

10.1117/12.813256 ◽

2008 ◽

Cited By ~ 36

Author(s):

Li Zhuo ◽

Jing Zheng ◽

Xia Li ◽

Fang Wang ◽

Bin Ai ◽

...

Keyword(s):

Genetic Algorithm ◽

Support Vector Machine ◽

Feature Selection ◽

Feature Selection Method ◽

Selection Method ◽

Hyperspectral Images ◽

Support Vector ◽

Wrapper Feature Selection

Download Full-text

Application of a GA/Bayesian Filter-Wrapper Feature Selection Method to Classification of Clinical Depression from Speech Data

Advances in Soft Computing - Soft Computing in Industrial Applications ◽

10.1007/978-3-540-70706-6_11 ◽

2007 ◽

pp. 115-121 ◽

Cited By ~ 4

Author(s):

Juan Torres ◽

Ashraf Saad ◽

Elliot Moore

Keyword(s):

Feature Selection ◽

Feature Selection Method ◽

Selection Method ◽

Clinical Depression ◽

Bayesian Filter ◽

Speech Data ◽

Wrapper Feature Selection

Download Full-text

Feature Selection Method for Classification of New and Used Bills

Advances in Intelligent and Soft Computing - Distributed Computing and Artificial Intelligence ◽

10.1007/978-3-642-14883-5_1 ◽

2010 ◽

pp. 1-8 ◽

Cited By ~ 1

Author(s):

Sigeru Omatu ◽

Masao Fujimura ◽

Toshihisa Kosaka

Keyword(s):

Feature Selection ◽

Feature Selection Method ◽

Selection Method

Download Full-text

Classification of Alzheimer’s Disease Based on Cortical Thickness Using AdaBoost and Combination Feature Selection Method

Computing and Intelligent Systems - Communications in Computer and Information Science ◽

10.1007/978-3-642-24091-1_51 ◽

2011 ◽

pp. 392-401 ◽

Cited By ~ 3

Author(s):

Zhiwei Hu ◽

Zhifang Pan ◽

Hongtao Lu ◽

Wenbin Li

Keyword(s):

Alzheimer’S Disease ◽

Alzheimer's Disease ◽

Feature Selection ◽

Cortical Thickness ◽

Feature Selection Method ◽

Selection Method

Download Full-text