Beef Quality Assesment with Electronic Nose Based on an Application Specific Convolution Neural Network
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Date
2021
Authors
Parvin Bulucu
Nalan Ǒzkurt
Cuneyt Guzels
Osman Yıldız
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Publisher
Institute of Electrical and Electronics Engineers Inc.
Open Access Color
Green Open Access
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Abstract
This paper presents a convolutional neural network algorithm for the classification of beef samples electronic nose dataset. Proposed algorithm was tested and results were compared to other works that used the same dataset. Overall proposed algorithm showed high performance results without any pre-processing steps. © 2022 Elsevier B.V. All rights reserved.
Description
Keywords
Beef Dataset, Convolutional Neural Network, E-nose, Electronic Nose, Beef, Classification (of Information), Convolution, Convolutional Neural Networks, Application Specific, Assesment, Beef Dataset, Convolution Neural Network, Convolutional Neural Network, Neural Networks Algorithms, Performance, Pre-processing Step, Electronic Nose, Beef, Classification (of information), Convolution, Convolutional neural networks, Application specific, Assesment, Beef dataset, Convolution neural network, Convolutional neural network, Neural networks algorithms, Performance, Pre-processing step, Electronic nose, Beef Dataset, Electronic Nose, E-nose, Convolutional Neural Network
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OpenCitations Citation Count
1
Source
2021 Innovations in Intelligent Systems and Applications Conference ASYU 2021
Volume
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Start Page
1
End Page
5
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