The capacity prediction of Li-ion batteries based on a new feature extraction technique and an improved extreme learning machine algorithm

2021 ◽  
Vol 514 ◽  
pp. 230572
Author(s):  
Ting Tang ◽  
Huimei Yuan
Keyword(s):  
Feature Extraction ◽  
Extreme Learning Machine ◽  
Extraction Technique ◽  
Li Ion Batteries ◽  
Li Ion ◽  
New Feature ◽  
Learning Machine ◽  
Feature Extraction Technique ◽  
Capacity Prediction

A new feature extraction technique based on improved owl search algorithm: a case study in copper electrorefining plant

2022 ◽  
Author(s):  
Najme Mansouri ◽  
Gholam Reza Khayati ◽  
Behnam Mohammad Hasani Zade ◽  
Seyed Mohammad Javad Khorasani ◽  
Roya Kafi Hernashki
Keyword(s):  
Feature Extraction ◽  
Search Algorithm ◽  
Extraction Technique ◽  
Copper Electrorefining ◽  
New Feature ◽  
Feature Extraction Technique

scholarly journals A Novel Feature Extraction Technique Using Binarization of Bit Planes for Content Based Image Classification

2014 ◽  
Vol 2014 ◽  
pp. 1-13 ◽  
Author(s):  
Sudeep Thepade ◽  
Rik Das ◽  
Saurav Ghosh
Keyword(s):  
Feature Extraction ◽  
Classification Performance ◽  
Extraction Technique ◽  
Image Binarization ◽  
Public Dataset ◽  
Selection For ◽  
New Feature ◽  
Bit Planes ◽  
Binarization Method ◽  
Feature Extraction Technique

A number of techniques have been proposed earlier for feature extraction using image binarization. Efficiency of the techniques was dependent on proper threshold selection for the binarization method. In this paper, a new feature extraction technique using image binarization has been proposed. The technique has binarized the significant bit planes of an image by selecting local thresholds. The proposed algorithm has been tested on a public dataset and has been compared with existing widely used techniques using binarization for extraction of features. It has been inferred that the proposed method has outclassed all the existing techniques and has shown consistent classification performance.

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