Recent Progress in Smart Electronic Nose Technologies Enabled with Machine Learning Methods
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Title
Recent Progress in Smart Electronic Nose Technologies Enabled with Machine Learning Methods
Authors
Keywords
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Journal
SENSORS
Volume 21, Issue 22, Pages 7620
Publisher
MDPI AG
Online
2021-11-17
DOI
10.3390/s21227620
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Note: Only part of the references are listed.- Identification of the Olfactory Profile of Rapeseed Oil as a Function of Heating Time and Ratio of Volume and Surface Area of Contact with Oxygen Using an Electronic Nose
- (2021) Robert Rusinek et al. SENSORS
- A Transfer Learning Method for the Protection of Geographical Indication in China Using an Electronic Nose for the Identification of Xihu Longjing Tea
- (2021) Xiaoran Wang et al. IEEE SENSORS JOURNAL
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- (2021) Yan Shi et al. SENSORS AND ACTUATORS B-CHEMICAL
- A Machine Learning Method for the Fine-Grained Classification of Green Tea with Geographical Indication Using a MOS-Based Electronic Nose
- (2021) Dongbing Yu et al. Foods
- Channel Attention Convolutional Neural Network for Chinese Baijiu Detection With E-Nose
- (2021) Shanshan Zhang et al. IEEE SENSORS JOURNAL
- A Machine Learning Method for Classification and Identification of Potato Cultivars Based on the Reaction of MOS Type Sensor-Array
- (2021) Ali Khorramifar et al. SENSORS
- Classification and Identification of Essential Oils from Herbs and Fruits Based on a MOS Electronic-Nose Technology
- (2021) Mansour Rasekh et al. Chemosensors
- Performance Analysis of MAU-9 Electronic-Nose MOS Sensor Array Components and ANN Classification Methods for Discrimination of Herb and Fruit Essential Oils
- (2021) Mansour Rasekh et al. Chemosensors
- A Fast Pearson Graph Convolutional Network Combined With Electronic Nose to Identify the Origin of Rice
- (2021) Yan Shi et al. IEEE SENSORS JOURNAL
- Target discrimination, concentration prediction, and status judgment of electronic nose system based on large-scale measurement and multi-task deep learning
- (2021) Tao Wang et al. SENSORS AND ACTUATORS B-CHEMICAL
- t-SNE and variational auto-encoder with a bi-LSTM neural network-based model for prediction of gas concentration in a sealed-off area of underground coal mines
- (2021) Prasanjit Dey et al. SOFT COMPUTING
- Evaluation of trunk borer infestation duration using MOS E-nose combined with different feature extraction methods and GS-SVM
- (2020) Zhenhe Wang et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- A multi-task learning framework for gas detection and concentration estimation
- (2020) Huixiang Liu et al. NEUROCOMPUTING
- Development of a Compact, IoT-Enabled Electronic Nose for Breath Analysis
- (2020) Tiele et al. Electronics
- Development of a low-cost e-nose to assess aroma profiles: An artificial intelligence application to assess beer quality
- (2020) Claudia Gonzalez Viejo et al. SENSORS AND ACTUATORS B-CHEMICAL
- Online Drift Compensation by Adaptive Active Learning on Mixed Kernel for Electronic Noses
- (2020) Tao Liu et al. SENSORS AND ACTUATORS B-CHEMICAL
- Origin traceability of rice based on an electronic nose coupled with a feature reduction strategy
- (2020) Yan Shi et al. MEASUREMENT SCIENCE and TECHNOLOGY
- Volatile organic compounds gas sensor based on quartz crystal microbalance for fruit freshness detection: A review
- (2020) Kewei Liu et al. FOOD CHEMISTRY
- Improving the Detection of Explosives in a MOX Chemical Sensors Array With LSTM Networks
- (2020) Julio Torres-Tello et al. IEEE SENSORS JOURNAL
- Validation of the rapid detection approach for enhancing the electronic nose systems performance, using different deep learning models and support vector machines
- (2020) Juan C. Rodriguez Gamboa et al. SENSORS AND ACTUATORS B-CHEMICAL
- DWTLSTM for electronic nose signal processing in beef quality monitoring
- (2020) Dedy Rahman Wijaya et al. SENSORS AND ACTUATORS B-CHEMICAL
- Using a Hybrid Deep Neural Network for Gas Classification
- (2020) Syuan-He Wang et al. IEEE SENSORS JOURNAL
- Local Discriminant Subspace Learning for Gas Sensor Drift Problem
- (2020) Zhengkun Yi et al. IEEE Transactions on Systems Man Cybernetics-Systems
- Development of a LeNet-5 Gas Identification CNN Structure for Electronic Noses
- (2019) Guangfen Wei et al. SENSORS
- Ripeness Prediction of Postharvest Kiwifruit Using a MOS E-Nose Combined with Chemometrics
- (2019) Dongdong Du et al. SENSORS
- Electronic Nose-Based Technique for Rapid Detection and Recognition of Moldy Apples
- (2019) Wenshen Jia et al. SENSORS
- Real-Time Thermal Modulation of High Bandwidth MOX Gas Sensors for Mobile Robot Applications
- (2019) Yuxin Xing et al. SENSORS
- Machine Learning Methods Applied to Predict Ventilator-Associated Pneumonia with Pseudomonas aeruginosa Infection via Sensor Array of Electronic Nose in Intensive Care Unit
- (2019) Liao et al. SENSORS
- A Gas Leakage Localization Method Based on a Virtual Ultrasonic Sensor Array
- (2019) Lei Li et al. SENSORS
- The qualitative and quantitative assessment of tea quality based on E-nose, E-tongue and E-eye combined with chemometrics
- (2019) Min Xu et al. FOOD CHEMISTRY
- Wasserstein Distance Learns Domain Invariant Feature Representations for Drift Compensation of E-Nose
- (2019) Yang Tao et al. SENSORS
- Sensor Drift Compensation Based on the Improved LSTM and SVM Multi-Class Ensemble Learning Models
- (2019) Zhao et al. SENSORS
- A Noise Spectroscopy-Based Features Extraction Method to Detect Two Gases Using One Single MOX Sensor
- (2019) Sami Gomri et al. IEEE SENSORS JOURNAL
- A Novel Feature Extraction Method an Electronic Nose for Aroma Classification
- (2019) Gwo-Jia Jong et al. IEEE SENSORS JOURNAL
- A novel multi-odour identification by electronic nose using non-parametric modelling-based feature extraction and time-series classification
- (2019) Taoping Liu et al. SENSORS AND ACTUATORS B-CHEMICAL
- New Alternating Current Noise Analytics Enables High Discrimination in Gas Sensing
- (2019) Huixian Ye et al. ANALYTICAL CHEMISTRY
- A deep feature mining method of electronic nose sensor data for identifying beer olfactory information
- (2019) Yan Shi et al. JOURNAL OF FOOD ENGINEERING
- A Novel Framework with High Diagnostic Sensitivity for Lung Cancer Detection by Electronic Nose
- (2019) Binchun Lu et al. SENSORS
- Electronic nose sensors data feature mining: a synergetic strategy for the classification of beer
- (2018) Hong Men et al. Analytical Methods
- Rapid Quality Discrimination and Amino Nitrogen Quantitative Evaluation of Soy Sauces by Tri-Step IR and E-nose
- (2018) Li Zhu et al. Food Analytical Methods
- Drift Insensitive Features for Learning Artificial Olfaction in E-Nose System
- (2018) Atiq ur Rehman et al. IEEE SENSORS JOURNAL
- Target Detection, Positioning and Tracking Using New UAV Gas Sensor Systems: Simulation and Analysis
- (2018) Haiwen Yuan et al. JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
- Highly Sensitive, Printable Nanostructured Conductive Polymer Wireless Sensor for Food Spoilage Detection
- (2018) Zhong Ma et al. NANO LETTERS
- Gas Classification Using Deep Convolutional Neural Networks
- (2018) Pai Peng et al. SENSORS
- Online Sensor Drift Compensation for E-Nose Systems Using Domain Adaptation and Extreme Learning Machine
- (2018) Zhiyuan Ma et al. SENSORS
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- (2018) Tarik Saidi et al. SENSORS AND ACTUATORS B-CHEMICAL
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- (2018) Andy Blanco-Rodríguez et al. WATER RESEARCH
- Weighted Domain Transfer Extreme Learning Machine and Its Online Version for Gas Sensor Drift Compensation in E-Nose Systems
- (2018) Zhiyuan Ma et al. WIRELESS COMMUNICATIONS & MOBILE COMPUTING
- Data Processing for Multiple Electronic Noses Using Sensor Response Visualization
- (2018) Ying-Jie Liu et al. IEEE SENSORS JOURNAL
- Diaphragm-based optical fiber sensor array for multipoint acoustic detection
- (2018) Jingyi Wang et al. OPTICS EXPRESS
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- (2018) Yang Tao et al. SENSORS
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- (2018) Huixian Ye et al. ANALYTICAL CHEMISTRY
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- (2018) Tao Liu et al. SENSORS
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- (2018) Huixiang Liu et al. SENSORS
- Electronic Noses: From Advanced Materials to Sensors Aided with Data Processing
- (2018) Wenwen Hu et al. Advanced Materials Technologies
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- (2018) Dong-Chen Gu et al. LWT-FOOD SCIENCE AND TECHNOLOGY
- Detection Potential of Multi-Features Representation of E-Nose Data in Classification of Moldy Maize Samples
- (2017) Yong Yin et al. Food and Bioprocess Technology
- Differentiation of Chinese robusta coffees according to species, using a combined electronic nose and tongue, with the aid of chemometrics
- (2017) Wenjiang Dong et al. FOOD CHEMISTRY
- A Bio-Inspired Breathing Sampling Electronic Nose for Rapid Detection of Chinese Liquors
- (2017) Pei-Feng Qi et al. IEEE SENSORS JOURNAL
- Optimization of the Transient Feature Analysis for Graphene Chemical Vapor Sensors: A Comprehensive Study
- (2017) Huixian Ye et al. IEEE SENSORS JOURNAL
- An original approach for the quantitative characterization of saffron aroma strength using electronic nose
- (2017) Sajad Kiani et al. INTERNATIONAL JOURNAL OF FOOD PROPERTIES
- Electronic Nose Technology in Respiratory Diseases
- (2017) Silvano Dragonieri et al. LUNG
- Self-Taught Learning Based on Sparse Autoencoder for E-Nose in Wound Infection Detection
- (2017) Peilin He et al. SENSORS
- Stacked Sparse Auto-Encoders (SSAE) Based Electronic Nose for Chinese Liquors Classification
- (2017) Wei Zhao et al. SENSORS
- A Framework for the Multi-Level Fusion of Electronic Nose and Electronic Tongue for Tea Quality Assessment
- (2017) Ruicong Zhi et al. SENSORS
- Anti-drift in E-nose: A subspace projection approach with drift reduction
- (2017) Lei Zhang et al. SENSORS AND ACTUATORS B-CHEMICAL
- Quantitative detection of formaldehyde and ammonia gas via metal oxide-modified graphene-based sensor array combining with neural network model
- (2017) Dongzhi Zhang et al. SENSORS AND ACTUATORS B-CHEMICAL
- Feature Extraction from Sensor Data for Detection of Wound Pathogen Based on Electronic Nose
- (2017) SENSORS AND MATERIALS
- On-line classification of pollutants in water using wireless portable electronic noses
- (2016) José Luis Herrero et al. CHEMOSPHERE
- A Regularized Ensemble of Classifiers for Sensor Drift Compensation
- (2016) Mridula Verma et al. IEEE SENSORS JOURNAL
- Correcting Instrumental Variation and Time-Varying Drift: A Transfer Learning Approach With Autoencoders
- (2016) Ke Yan et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Enhancing Electronic Nose Performance Based on a Novel QPSO-KELM Model
- (2016) Chao Peng et al. SENSORS
- Short-Time Fourier Transform and Decision Tree-Based Pattern Recognition for Gas Identification Using Temperature Modulated Microhotplate Gas Sensors
- (2016) Aixiang He et al. Journal of Sensors
- Discrimination Enhancement with Transient Feature Analysis of a Graphene Chemical Sensor
- (2015) Eric C. Nallon et al. ANALYTICAL CHEMISTRY
- Longjing tea quality classification by fusion of features collected from E-nose
- (2015) Yuewen Dai et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Electrospun SnO2/Polyaniline composite nanofibers based low temperature hydrogen gas sensor
- (2015) Hemlata Jaypraksh Sharma et al. FIBERS AND POLYMERS
- Domain Adaptation Extreme Learning Machines for Drift Compensation in E-Nose Systems
- (2015) Lei Zhang et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- Qualitative and quantitative analysis on aroma characteristics of ginseng at different ages using E-nose and GC–MS combined with chemometrics
- (2015) Shaoqing Cui et al. JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS
- Metal Oxide Gas Sensor Drift Compensation Using a Two-Dimensional Classifier Ensemble
- (2015) Hang Liu et al. SENSORS
- A Novel Feature Extraction Approach Using Window Function Capturing and QPSO-SVM for Enhancing Electronic Nose Performance
- (2015) Xiuzhen Guo et al. SENSORS
- A Customized Metal Oxide Semiconductor-Based Gas Sensor Array for Onion Quality Evaluation: System Development and Characterization
- (2015) Tharun Konduru et al. SENSORS
- Electronic Nose Feature Extraction Methods: A Review
- (2015) Jia Yan et al. SENSORS
- Chemical Discrimination with an Unmodified Graphene Chemical Sensor
- (2015) Eric C. Nallon et al. ACS Sensors
- Selective Detection of Acetone and Hydrogen Sulfide for the Diagnosis of Diabetes and Halitosis Using SnO2 Nanofibers Functionalized with Reduced Graphene Oxide Nanosheets
- (2014) Seon-Jin Choi et al. ACS Applied Materials & Interfaces
- Performance Study of Multilayer Perceptrons in a Low-Cost Electronic Nose
- (2014) Lei Zhang et al. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT
- A review of unsupervised feature learning and deep learning for time-series modeling
- (2014) Martin Längkvist et al. PATTERN RECOGNITION LETTERS
- Graphene-based gas sensor: metal decoration effect and application to a flexible device
- (2014) Byungjin Cho et al. Journal of Materials Chemistry C
- Nondestructive detection of fish freshness during its preservation by combining electronic nose and electronic tongue techniques in conjunction with chemometric analysis
- (2013) Fangkai Han et al. Analytical Methods
- Fast Classification of Meat Spoilage Markers Using Nanostructured ZnO Thin Films and Unsupervised Feature Learning
- (2013) Martin Längkvist et al. SENSORS
- Fabrication of a room-temperature H2S gas sensor based on PPy/WO3 nanocomposite films by in-situ photopolymerization
- (2013) Pi-Guey Su et al. SENSORS AND ACTUATORS B-CHEMICAL
- Chemical gas sensor drift compensation using classifier ensembles
- (2012) Alexander Vergara et al. SENSORS AND ACTUATORS B-CHEMICAL
- Comparison of growth models between artificial neural networks and nonlinear regression analysis in Cherry Valley ducks
- (2011) C. Kaewtapee et al. JOURNAL OF APPLIED POULTRY RESEARCH
- Wireless electronic nose system for real-time quantitative analysis of gas mixtures using micro-gas sensor array and neuro-fuzzy network
- (2008) J CHO et al. SENSORS AND ACTUATORS B-CHEMICAL
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