scholarly journals An automated Covid-19 respiratory sound classification method based on novel local symmetric Euclidean distance pattern and ReliefF iterative MRMR feature selector

2021 ◽  
Vol 5 (3 (Under Construction)) ◽  
pp. 334-343
Author(s):  
Türker TUNCER ◽  
Emrah AYDEMİR ◽  
Fatih ÖZYURT ◽  
Sengul DOGAN ◽  
Samir Brahim BELHAOUARI ◽  
...  
Keyword(s):  
Euclidean Distance ◽  
Classification Method ◽  
Respiratory Sound ◽  
Sound Classification ◽  
Feature Selector

Improvement of Sound Classification Method on Smartphone for Hammering Test Using 5G Network

2021 ◽  
Author(s):  
Tsubasa Fukumura ◽  
Hayato Aratame ◽  
Atsushi Ito ◽  
Masafumi Koike ◽  
Katsuhiko Hibino ◽  
...  
Keyword(s):  
Classification Method ◽  
Sound Classification ◽  
5G Network

scholarly journals A Novel Local Feature Generation Technique Based Sound Classification Method for Covid-19 Detection using Lung Breathing Sound

2021 ◽  
Vol 11 (2) ◽  
pp. 165-174
Author(s):  
Türker TUNCER ◽  
Erhan AKBAL ◽  
Emrah AYDEMİR ◽  
Samir Brahim BELHAOUARI ◽  
Sengul DOGAN
Keyword(s):  
Local Feature ◽  
Classification Method ◽  
Feature Generation ◽  
Generation Technique ◽  
Sound Classification

Contaminant classification using cosine distances based on multiple conventional sensors

2015 ◽  
Vol 17 (2) ◽  
pp. 343-350 ◽  
Author(s):  
Shuming Liu ◽  
Han Che ◽  
Kate Smith ◽  
Tian Chang
Keyword(s):  
Real Time ◽  
Euclidean Distance ◽  
Classification Method ◽  
Contaminant Concentration ◽  
Different Types ◽  
Using Data

This paper proposes a new contaminant classification method to discriminate contaminants in a real time manner, independent of the contaminant concentration. The proposed method quantifies the similarities or dissimilarities between sensors' responses to different types of contaminants. The performance of the proposed method was evaluated using data from injection experiments and compared with a Euclidean distance-based method.

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