Olfactory classification using electronic nose system via artificial neural network

2016 ◽  
Author(s):  
Aaron Paulo D. Heredia ◽  
Febus Reidj Cruz ◽  
Jessie R. Balbin ◽  
Wen-Yaw Chung
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Electronic Nose ◽  
Artificial Neural ◽  
Electronic Nose System

Portable electronic nose system with gas sensor array and artificial neural network

2000 ◽  
Vol 66 (1-3) ◽  
pp. 49-52 ◽  
Author(s):  
Hyung-Ki Hong ◽  
Chul Han Kwon ◽  
Seung-Ryeol Kim ◽  
Dong Hyun Yun ◽  
Kyuchung Lee ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Gas Sensor ◽  
Electronic Nose ◽  
Sensor Array ◽  
Gas Sensor Array ◽  
Artificial Neural ◽  
Electronic Nose System

A Framework for an Artificial-Neural-Network-Based Electronic Nose

2022 ◽  
pp. 350-374
Author(s):  
Mudassir Ismail ◽  
Ahmed Abdul Majeed ◽  
Yousif Abdullatif Albastaki
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Artificial Neural Network ◽  
Electronic Nose ◽  
Learning Algorithm ◽  
General Purpose ◽  
Food Spoilage ◽  
Standard Data ◽  
Semiconductor Gas Sensor ◽  
Artificial Neural

Machine odor detection has developed into an important aspect of our lives with various applications of it. From detecting food spoilage to diagnosis of diseases, it has been developed and tested in various fields and industries for specific purposes. This project, artificial-neural-network-based electronic nose (ANNeNose), is a machine-learning-based e-nose system that has been developed for detection of various types of odors for a general purpose. The system can be trained on any odor using various e-nose sensor types. It uses artificial neural network as its machine learning algorithm along with an OMX-GR semiconductor gas sensor for collecting odor data. The system was trained and tested with five different types of odors collected through a standard data collection method and then purified, which in turn had a result varying from 93% to 100% accuracy.

scholarly journals Development of an Electronic Nose for Smell Categorization Using Artificial Neural Network

2021 ◽  
Vol 12 (1) ◽  
pp. 36-44
Author(s):  
Dailyne Macasaet ◽  
◽  
Argel Bandala ◽  
Ana Antoniette Illahi ◽  
Elmer Dadios ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Electronic Nose ◽  
Artificial Neural

A Framework for an Artificial-Neural-Network-Based Electronic Nose

2018 ◽  
pp. 1-24 ◽  
Author(s):  
Mudassir Ismail ◽  
Ahmed Abdul Majeed ◽  
Yousif Abdullatif Albastaki
Keyword(s):  
Neural Network ◽  
Machine Learning ◽  
Artificial Neural Network ◽  
Electronic Nose ◽  
Learning Algorithm ◽  
General Purpose ◽  
Food Spoilage ◽  
Standard Data ◽  
Semiconductor Gas Sensor ◽  
Artificial Neural

Machine odor detection has developed into an important aspect of our lives with various applications of it. From detecting food spoilage to diagnosis of diseases, it has been developed and tested in various fields and industries for specific purposes. This project, artificial-neural-network-based electronic nose (ANNeNose), is a machine-learning-based e-nose system that has been developed for detection of various types of odors for a general purpose. The system can be trained on any odor using various e-nose sensor types. It uses artificial neural network as its machine learning algorithm along with an OMX-GR semiconductor gas sensor for collecting odor data. The system was trained and tested with five different types of odors collected through a standard data collection method and then purified, which in turn had a result varying from 93% to 100% accuracy.

Qualitative analysis of biological tuberculosis samples by an electronic nose-based artificial neural network

2017 ◽  
Vol 21 (7) ◽  
pp. 810-817 ◽  
Author(s):  
E. I. Mohamed ◽  
M. A. Mohamed ◽  
M. H. Moustafa ◽  
S. M. Abdel-Mageed ◽  
A. M. Moro ◽  
...  
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Qualitative Analysis ◽  
Electronic Nose ◽  
Artificial Neural
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