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Seyed Mohammad Taghi Gharibzahedi et al.
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Alireza Sanaeifar et al.
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Xiaoran Wang et al.
IEEE SENSORS JOURNAL (2021)
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Shuang Liang et al.
TRENDS IN FOOD SCIENCE & TECHNOLOGY (2021)
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Yanqin Yang et al.
JOURNAL OF FOOD SCIENCE (2021)
Feature Reduction Method Coupled with Electronic Nose for Quality Control of Tea
Chao Wang et al.
SENSORS AND MATERIALS (2021)
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Lili Zhu et al.
INTERNET OF THINGS (2021)
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Lili Zhu et al.
CURRENT RESEARCH IN FOOD SCIENCE (2021)
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Shuyan Wang et al.
MOLECULES (2020)
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Baohua Yang et al.
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Fangkai Han et al.
FOODS (2020)
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Maimunah Mohd Ali et al.
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Tharaga Sharmilan et al.
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Anchalee Ruengdech et al.
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Daniel Ruiz-Perez et al.
BMC BIOINFORMATICS (2020)
Development of a Tuneable NDIR Optical Electronic Nose
Siavash Esfahani et al.
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Ailing Han et al.
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Yanqin Yang et al.
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Ka-Lung Lam et al.
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Diclehan Karakaya et al.
INTERNATIONAL JOURNAL OF AUTOMATION AND COMPUTING (2020)
Rapid identification of tea quality by E-nose and computer vision combining with a synergetic data fusion strategy
Min Xu et al.
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SENSORS (2019)
Advances in Electronic Nose Development for Application to Agricultural Products
Wenshen Jia et al.
FOOD ANALYTICAL METHODS (2019)
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FOOD CHEMISTRY (2019)
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Min Xu et al.
FOOD CHEMISTRY (2019)
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Haibo Yuan et al.
JOURNAL OF FOOD SCIENCE (2019)
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Shidiq Nur Hidayat et al.
CHEMOSENSORS (2019)
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Huixiang Liu et al.
IEEE ACCESS (2019)
Partial least squares-discriminant analysis (PLS-DA) for classification of high-dimensional (HD) data: a review of contemporary practice strategies and knowledge gaps
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ANALYST (2018)
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Li-Ying Chen et al.
SENSORS (2018)
Discriminant research for identifying aromas of non-fermented Pu-erh tea from different storage years using an electronic nose
Xuemei Yang et al.
JOURNAL OF FOOD PROCESSING AND PRESERVATION (2018)
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PLOS ONE (2018)
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Anna Gliszczynska-Swiglo et al.
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Shanshan Qiu et al.
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Dongsheng Luo et al.
INTERNATIONAL JOURNAL OF FOOD SCIENCE AND TECHNOLOGY (2017)
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Ruicong Zhi et al.
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Huaying Zhou et al.
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Differentiation of two types of pu-erh teas by using an electronic nose and ultrasound-assisted extraction-dispersive liquid-liquid microextraction-gas chromatography-mass spectrometry
Jing Ye et al.
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Li-Yu Hu et al.
SPRINGERPLUS (2016)
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Sajad Kiani et al.
JOURNAL OF APPLIED RESEARCH ON MEDICINAL AND AROMATIC PLANTS (2016)
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Yuewen Dai et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2015)
Electronic noses for food quality: A review
Amy Loutfi et al.
JOURNAL OF FOOD ENGINEERING (2015)
Application of electronic nose for industrial odors and gaseous emissions measurement and monitoring - An overview
Sharvari Deshmukh et al.
TALANTA (2015)
Recent developments of green analytical techniques in analysis of tea's quality and nutrition
Quansheng Chen et al.
TRENDS IN FOOD SCIENCE & TECHNOLOGY (2015)
A Bio-Inspired Herbal Tea Flavour Assessment Technique
Nur Zawatil Isqi Zakaria et al.
SENSORS (2014)
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Quansheng Chen et al.
SENSORS AND ACTUATORS B-CHEMICAL (2011)
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Partial least squares regression and projection on latent structure regression (PLS Regression)
Herve Abdi
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Applications and Advances in Electronic-Nose Technologies
Alphus D. Wilson et al.
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Illumination heating and physical raking for increasing sensitivity of electronic nose measurements with black tea
Nabarun Bhattacharya et al.
SENSORS AND ACTUATORS B-CHEMICAL (2008)
Chemical sensors for electronic nose systems
D James et al.
MICROCHIMICA ACTA (2005)
Sensors, chemical sensors, electrochemical sensors, and ECS
JR Stetter et al.
JOURNAL OF THE ELECTROCHEMICAL SOCIETY (2003)
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