Detection of Type, Blended Ratio, and Mixed Ratio of Pu’er Tea by Using Electronic Nose and Visible/Near Infrared Spectrometer

Gas Classification Using Deep Convolutional Neural Networks

(2018) Pai Peng et al.   SENSORS

No-Reference Stereoscopic Image Quality Assessment Using Convolutional Neural Network for Adaptive Feature Extraction

(2018) Yong Ding et al.   IEEE Access

Evaluation of the synergism among volatile compounds in Oolong tea infusion by odour threshold with sensory analysis and E-nose

(2017) JianCai Zhu et al.   FOOD CHEMISTRY

A rapid ATR-FTIR spectroscopic method for detection of sibutramine adulteration in tea and coffee based on hierarchical cluster and principal component analyses

(2017) Nur Cebi et al.   FOOD CHEMISTRY

Intelligent evaluation of color sensory quality of black tea by visible-near infrared spectroscopy technology: A comparison of spectra and color data information

(2017) Qin Ouyang et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

An Empirical Study for PCA- and LDA-Based Feature Reduction for Gas Identification

(2016) Muhammad Ali Akbar et al.   IEEE SENSORS JOURNAL

Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks

(2016) Yushi Chen et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Processing and chemical constituents of Pu-erh tea: A review

(2013) Hai-peng Lv et al.   FOOD RESEARCH INTERNATIONAL

A review of variable selection methods in Partial Least Squares Regression

(2012) Tahir Mehmood et al.   CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS

Recognition of Coffee Using Differential Electronic Nose

(2012) Kazimierz Brudzewski et al.   IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT

Statistical consequences of applying a PCA noise filter on EELS spectrum images

(2012) Stijn Lichtert et al.   ULTRAMICROSCOPY

Physicochemical Properties and Antioxidant Capacity of 3 Polysaccharides from Green Tea, Oolong Tea, and Black Tea

(2009) Haixia Chen et al.   JOURNAL OF FOOD SCIENCE

Multi-source information fusion applied to structural damage diagnosis

(2009) Tao Liu et al.   Structure and Infrastructure Engineering