scholarly journals A Scalable Automated Diagnostic Feature Extraction System for EEGs

2019 ◽  
Author(s):  
Prakhar Agrawal ◽  
Divya Bhargavi ◽  
Gokul Krishna G ◽  
Xiao Han ◽  
Neha Tevathia ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Extraction System ◽  
Diagnostic Feature

Diagnostic Feature Extraction From Stamping Tonnage Signals Based on Design of Experiments

1999 ◽  
Vol 122 (2) ◽  
pp. 360-369 ◽  
Author(s):  
Jionghua Jin ◽  
Jianjun Shi
Keyword(s):  
Feature Extraction ◽  
Design Of Experiments ◽  
Principal Component ◽  
Fractional Factorial ◽  
Diagnostic Feature ◽  
Root Cause ◽  
Variation Patterns ◽  
Factorial Design Of Experiments ◽  
New Feature ◽  
Diagnostic Research

Diagnostic feature extraction with consideration of interactions between variables is very important, but has been neglected in most diagnostic research. In this paper, a new feature extraction methodology is developed to consider variable interactions by using a fractional factorial design of experiments (DOE). In this methodology, features are extracted by using principal component analysis (PCA) to represent variation patterns of tonnage signals. Regression analyses are performed to model the relationship between features and process variables. Hierarchical classifiers and the cross-validation method are used for root-cause determination and diagnostic performance evaluation. A real-world example is used to illustrate the new methodology. [S1087-1357(00)00302-6]

Graphic object feature extraction system based on Cuckoo Search Algorithm

2016 ◽  
Vol 66 ◽  
pp. 20-31 ◽  
Author(s):  
Marcin Woźniak ◽  
Dawid Połap ◽  
Christian Napoli ◽  
Emiliano Tramontana
Keyword(s):  
Feature Extraction ◽  
Search Algorithm ◽  
Cuckoo Search ◽  
Cuckoo Search Algorithm ◽  
Extraction System ◽  
Object Feature
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