A Framework for the Multi-Level Fusion of Electronic Nose and Electronic Tongue for Tea Quality Assessment

Discriminatory power assessment of the sensor array of an electronic nose system for the detection of non alcoholic beer aging

(2018) M. Ghasemi-Varnamkhasti et al.   CZECH JOURNAL OF FOOD SCIENCES

A review on combined odor and taste sensor systems

(2016) Runu Banerjee et al.   JOURNAL OF FOOD ENGINEERING

Fusion of artificial senses as a robust approach to food quality assessment

(2016) Sajad Kiani et al.   JOURNAL OF FOOD ENGINEERING

Longjing tea quality classification by fusion of features collected from E-nose

(2015) Yuewen Dai et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Comparison of ELM, RF, and SVM on E-nose and E-tongue to trace the quality status of mandarin (Citrus unshiu Marc.)

(2015) Shanshan Qiu et al.   JOURNAL OF FOOD ENGINEERING

Instrumental intelligent test of food sensory quality as mimic of human panel test combining multiple cross-perception sensors and data fusion

(2014) Qin Ouyang et al.   ANALYTICA CHIMICA ACTA

New dimensionality reduction model (manifold learning) coupled with electronic tongue for green tea grade identification

(2014) Ruicong Zhi et al.   EUROPEAN FOOD RESEARCH AND TECHNOLOGY

Evaluation of oxygen exposure levels and polyphenolic content of red wines using an electronic panel formed by an electronic nose and an electronic tongue

(2014) M.L. Rodriguez-Mendez et al.   FOOD CHEMISTRY

Artificial flavor perception of black tea using fusion of electronic nose and tongue response: A Bayesian statistical approach

(2014) Runu Banerjee(Roy) et al.   JOURNAL OF FOOD ENGINEERING

E-Nose and e-Tongue combination for improved recognition of fruit juice samples

(2013) Z. Haddi et al.   FOOD CHEMISTRY

Detection of adulteration in cherry tomato juices based on electronic nose and tongue: Comparison of different data fusion approaches

(2013) Xuezhen Hong et al.   JOURNAL OF FOOD ENGINEERING

Instrumental testing of tea by combining the responses of electronic nose and tongue

(2012) Runu Banerjee(Roy) et al.   JOURNAL OF FOOD ENGINEERING

Optimization of electronic nose sensor array by genetic algorithms in Xihu-Longjing Tea quality analysis

(2012) Bolin Shi et al.   MATHEMATICAL AND COMPUTER MODELLING

Enhancing electronic nose performance: A novel feature selection approach using dynamic social impact theory and moving window time slicing for classification of Kangra orthodox black tea (Camellia sinensis (L.) O. Kuntze)

(2012) Rishemjit Kaur et al.   SENSORS AND ACTUATORS B-CHEMICAL

Monitoring of alcoholic fermentation using near infrared and mid infrared spectroscopies combined with electronic nose and electronic tongue

(2011) S. Buratti et al.   ANALYTICA CHIMICA ACTA

Development of Human Sensory Mimicking System

(2011) N. A. Fikri et al.   Sensor Letters

A Biomimetic Sensor for the Classification of Honeys of Different Floral Origin and the Detection of Adulteration

(2011) Ammar Zakaria et al.   SENSORS

Electronic Noses and Tongues: Applications for the Food and Pharmaceutical Industries

(2011) Elizabeth A. Baldwin et al.   SENSORS

Combined electronic nose and tongue for a flavour sensing system

(2011) Marina Cole et al.   SENSORS AND ACTUATORS B-CHEMICAL

Discrimination of green tea quality using the electronic nose technique and the human panel test, comparison of linear and nonlinear classification tools

(2011) Quansheng Chen et al.   SENSORS AND ACTUATORS B-CHEMICAL

Improved Classification of Orthosiphon stamineus by Data Fusion of Electronic Nose and Tongue Sensors

(2010) Ammar Zakaria et al.   SENSORS

Classification of Black Tea Taste and Correlation With Tea Taster's Mark Using Voltammetric Electronic Tongue

(2009) M Palit et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Identification of Tea Storage Times by Linear Discrimination Analysis and Back-Propagation Neural Network Techniques Based on the Eigenvalues of Principal Components Analysis of E-Nose Sensor Signals

(2009) Huichun Yu et al.   SENSORS

Identification of the green tea grade level using electronic tongue and pattern recognition

(2008) Quansheng Chen et al.   FOOD RESEARCH INTERNATIONAL

Electronic Nose for Black Tea Classification and Correlation of Measurements With “Tea Taster” Marks

(2008) N. Bhattacharyya et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Identification of green tea grade using different feature of response signal from E-nose sensors

(2007) Huichun Yu et al.   SENSORS AND ACTUATORS B-CHEMICAL