An Odor Recognition Algorithm of Electronic Noses Based on Convolutional Spiking Neural Network for Spoiled Food Identification

[1]  Nikola K. Kasabov,et al.  Application of a Brain-Inspired Spiking Neural Network Architecture to Odor Data Classification , 2020, Sensors.

[2]  Saleem Khan,et al.  Fabrication and characterization of highly sensitive ZnO/Si SAW device with Pd selective layer for F2 gas sensing , 2014, Microsystem Technologies.

[3]  Amine Bermak,et al.  Mixture Gases Classification Based on Multi-Label One-Dimensional Deep Convolutional Neural Network , 2019, IEEE Access.

[4]  Shekhar Bhansali,et al.  Review—Deep Learning Methods for Sensor Based Predictive Maintenance and Future Perspectives for Electrochemical Sensors , 2020 .

[5]  Guang Li,et al.  An optimized deep convolutional neural network for dendrobium classification based on electronic nose , 2020 .

[6]  Gaël Varoquaux,et al.  Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..

[7]  Ming Zeng,et al.  Electronic nose using a bio-inspired neural network modeled on mammalian olfactory system for Chinese liquor classification. , 2019, The Review of scientific instruments.

[8]  Ping Wang,et al.  Facile Screen-Printed Carbon Nanotube Electrode on Porous Substrate with Gold Nanoparticle Modification for Rapid Electrochemical Gas Sensing , 2021, Journal of The Electrochemical Society.

[9]  Parveen Lehana,et al.  Finite element modelling of piezoelectric micro-cantilever as Gas sensor , 2013, 2013 1st International Conference on Emerging Trends and Applications in Computer Science.

[10]  A. Lilienthal,et al.  A cluster analysis approach based on exploiting density peaks for gas discrimination with electronic noses in open environments , 2018 .

[11]  Qing-Hao Meng,et al.  Using Spike-Based Bio-Inspired Olfactory Model for Data Processing in Electronic Noses , 2018, IEEE Sensors Journal.

[12]  Mehmet Türkan,et al.  Electronic Nose and Its Applications: A Survey , 2020, Int. J. Autom. Comput..

[13]  Ayten Atasoy,et al.  Multiclass classification of n-butanol concentrations with k-nearest neighbor algorithm and support vector machine in an electronic nose , 2012 .

[14]  Cihat Tasaltin,et al.  Predicting gas concentrations of ternary gas mixtures for a predefined 3D sample space , 2008 .

[15]  T. Sridhar,et al.  Review—Recent Advances in Electrochemical Impedance Spectroscopy Based Toxic Gas Sensors Using Semiconducting Metal Oxides , 2020, Journal of The Electrochemical Society.

[16]  Ganesh Kumar Mani,et al.  Electronic noses for food quality : a review , 2015 .

[17]  Sebastián Maldonado,et al.  Probabilistic support vector machines for multi-class alcohol identification , 2007 .

[18]  Tomasz Markiewicz,et al.  Classification of milk by means of an electronic nose and SVM neural network , 2004 .

[19]  Stanislaw Osowski,et al.  Classification of gasoline with supplement of bio-products by means of an electronic nose and SVM neural network , 2006 .

[20]  Kaushik Roy,et al.  Towards spike-based machine intelligence with neuromorphic computing , 2019, Nature.

[21]  Zhen Sun,et al.  Fault Detection Using the Clustering-kNN Rule for Gas Sensor Arrays , 2016, Sensors.

[22]  Jun Wang,et al.  Electronic nose technique potential monitoring mandarin maturity , 2006 .

[23]  Michael Daniele,et al.  Editors’ Choice—Critical Review—A Critical Review of Solid State Gas Sensors , 2020, Journal of The Electrochemical Society.

[24]  Jie Zhao,et al.  Development of a LeNet-5 Gas Identification CNN Structure for Electronic Noses , 2019, Sensors.

[25]  Ping Wang,et al.  A miniaturized electronic nose with artificial neural network for anti-interference detection of mixed indoor hazardous gases , 2021 .

[26]  Yangong Zheng,et al.  Discriminative power of independent component analysis applied to an electronic nose , 2019, Measurement Science and Technology.

[27]  Gaetano Di Caterina,et al.  A New Spiking Convolutional Recurrent Neural Network (SCRNN) With Applications to Event-Based Hand Gesture Recognition , 2020, Frontiers in Neuroscience.

[28]  Hesham Mostafa,et al.  Surrogate Gradient Learning in Spiking Neural Networks: Bringing the Power of Gradient-based optimization to spiking neural networks , 2019, IEEE Signal Processing Magazine.

[29]  Timothée Masquelier,et al.  STDP-based spiking deep neural networks for object recognition , 2016, Neural Networks.

[30]  Jacques Gautrais,et al.  SpikeNET: A simulator for modeling large networks of integrate and fire neurons , 1999, Neurocomputing.

[31]  Yubin Lan,et al.  Improved Algorithms for the Classification of Rough Rice Using a Bionic Electronic Nose Based on PCA and the Wilks Distribution , 2014, Sensors.

[32]  Pai Peng,et al.  Gas Classification Using Deep Convolutional Neural Networks , 2018, Sensors.

[33]  David Zhang,et al.  Feature selection and analysis on correlated gas sensor data with recursive feature elimination , 2015 .

[34]  P. H. Borse,et al.  Review—Recent Material Advances and Their Mechanistic Approaches for Room Temperature Chemiresistive Gas Sensors , 2021 .

[35]  Vrijendra Singh,et al.  CLR-based deep convolutional spiking neural network with validation based stopping for time series classification , 2019, Applied Intelligence.

[36]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[37]  Rishemjit Kaur,et al.  Towards biological plausibility of electronic noses: A spiking neural network based approach for tea odour classification , 2015, Neural Networks.