A deep learning method combined with electronic nose to identify the rice origin

Lightweight Residual Convolutional Neural Network for Soybean Classification Combined With Electronic Nose

(2022) Hualing Lin et al.   IEEE SENSORS JOURNAL

Improving performance: A collaborative strategy for the multi-data fusion of electronic nose and hyperspectral to track the quality difference of rice

(2021) Yan Shi et al.   SENSORS AND ACTUATORS B-CHEMICAL

Channel Attention Convolutional Neural Network for Chinese Baijiu Detection With E-Nose

(2021) Shanshan Zhang et al.   IEEE SENSORS JOURNAL

Feature Reduction Method Coupled with Electronic Nose for Quality Control of Tea

(2021) Chao Wang et al.   SENSORS AND MATERIALS

A Fast Pearson Graph Convolutional Network Combined With Electronic Nose to Identify the Origin of Rice

(2021) Yan Shi et al.   IEEE SENSORS JOURNAL

Adaptive machine learning for time-varying systems: low dimensional latent space tuning

(2021) A. Scheinker   Journal of Instrumentation

Volatile compounds, affecting factors and evaluation methods for rice aroma: A review

(2020) Xianqiao Hu et al.   TRENDS IN FOOD SCIENCE & TECHNOLOGY

Origin traceability of rice based on an electronic nose coupled with a feature reduction strategy

(2020) Yan Shi et al.   MEASUREMENT SCIENCE and TECHNOLOGY

A deep convolutional neural network for simultaneous denoising and deblurring in computed tomography

(2020) D. Yim et al.   Journal of Instrumentation

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

Multi-Classifier Tree With Transient Features for Drift Compensation in Electronic Nose

(2020) Atiq Ur Rehman et al.   IEEE SENSORS JOURNAL

Robust Classification of Largely Corrupted Electronic Nose Data Using Deep Neural Networks

(2020) YoungJoon Yoo et al.   IEEE SENSORS JOURNAL

Development of a portable electronic nose based on a hybrid filter-wrapper method for identifying the Chinese dry-cured ham of different grades

(2020) Kang Qian et al.   JOURNAL OF FOOD ENGINEERING

Training technique of electronic nose using labeled and unlabeled samples based on multi-kernel LapSVM

(2019) Pengfei Jia et al.   SENSORS AND ACTUATORS B-CHEMICAL

Discriminative power of independent component analysis applied to an electronic nose

(2019) Ruizhi Sun et al.   MEASUREMENT SCIENCE and TECHNOLOGY

Feature Extraction of Citrus Juice During Storage for Electronic Nose Based on Cellular Neural Network

(2019) Huaisheng Cao et al.   IEEE SENSORS JOURNAL

A modified mid-level data fusion approach on electronic nose and FT-NIR data for evaluating the effect of different storage conditions on rice germ shelf life

(2019) Cristina Malegori et al.   TALANTA

A paradigm of volatile aroma compounds in rice and their product with extraction and identification methods: A comprehensive review

(2019) Deepak Kumar Verma et al.   FOOD RESEARCH INTERNATIONAL

Squeeze-and-Excitation Networks

(2019) Jie Hu et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Enhancing electronic nose performance based on a novel QPSO-RBM technique

(2018) Hanxiao Luo et al.   SENSORS AND ACTUATORS B-CHEMICAL

The feasibility of using an electronic nose to identify adulteration of Pathumthani 1 in Khaw Dok Mali 105 rice during storage

(2018) Patchimaporn Udomkun et al.   Journal of Food Measurement and Characterization

On the feasibility of metal oxide gas sensor based electronic nose software modification to characterize rice ageing during storage

(2018) Hassan Rahimzadeh et al.   JOURNAL OF FOOD ENGINEERING

Electronic nose with a new feature reduction method and a multi-linear classifier for Chinese liquor classification

(2014) Yaqi Jing et al.   REVIEW OF SCIENTIFIC INSTRUMENTS