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

A two-stage approach for automatic liver segmentation with Faster R-CNN and DeepLab

(2020) Wei Tang et al.   NEURAL COMPUTING & APPLICATIONS

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

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

Characterization of flavor volatile compounds in sauce spareribs by gas chromatography–mass spectrometry and electronic nose

(2020) Jie Shi et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

Single-cell classification of foodborne pathogens using hyperspectral microscope imaging coupled with deep learning frameworks

(2020) Rui Kang et al.   SENSORS AND ACTUATORS B-CHEMICAL

Spatial distribution of soil trace element concentrations along an urban-rural transition zone in the black soil region of northeastern China

(2019) Yuanli Zhu et al.   JOURNAL OF SOILS AND SEDIMENTS

Rapid quantitative analysis of adulterated rice with partial least squares regression using hyperspectral imaging system

(2019) Lianbo Guo et al.   JOURNAL OF THE SCIENCE OF FOOD AND AGRICULTURE

Evaluating rice for salinity using pot-culture provides a systematic tolerance assessment at the seedling stage

(2019) Naqeebullah Kakar et al.   Rice

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

Classification of hybrid seeds using near-infrared hyperspectral imaging technology combined with deep learning

(2019) Pengcheng Nie et al.   SENSORS AND ACTUATORS B-CHEMICAL

A deep feature mining method of electronic nose sensor data for identifying beer olfactory information

(2019) Yan Shi et al.   JOURNAL OF FOOD ENGINEERING

Electronic nose sensors data feature mining: a synergetic strategy for the classification of beer

(2018) Hong Men et al.   Analytical Methods

Accuracy and stability improvement in detecting Wuchang rice adulteration by piece-wise multiplicative scatter correction in the hyperspectral imaging system

(2018) Yunxin Yu et al.   Analytical Methods

Non-destructive analysis of sucrose, caffeine and trigonelline on single green coffee beans by hyperspectral imaging

(2018) Nicola Caporaso et al.   FOOD RESEARCH INTERNATIONAL

Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition

(2018) Ran He et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Rapid identification of tea quality by E-nose and computer vision combining with a synergetic data fusion strategy

(2018) Min Xu et al.   JOURNAL OF FOOD ENGINEERING

A CNN-SVM combined model for pattern recognition of knee motion using mechanomyography signals

(2018) Haifeng Wu et al.   JOURNAL OF ELECTROMYOGRAPHY AND KINESIOLOGY

Fusion of electronic nose, electronic tongue and computer vision for animal source food authentication and quality assessment – A review

(2017) Ambra Rita Di Rosa et al.   JOURNAL OF FOOD ENGINEERING

A hybrid method based on ensemble WELM for handling multi class imbalance in cancer microarray data

(2017) Zhen Liu et al.   NEUROCOMPUTING

Mining Feature of Data Fusion in the Classification of Beer Flavor Information Using E-Tongue and E-Nose

(2017) et al.   SENSORS

Geographical traceability of wild Boletus edulis based on data fusion of FT-MIR and ICP-AES coupled with data mining methods (SVM)

(2017) Yun Li et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Neuron Pruning-Based Discriminative Extreme Learning Machine for Pattern Classification

(2017) Tan Guo et al.   Cognitive Computation

Evolutionary Cost-Sensitive Extreme Learning Machine

(2017) Lei Zhang et al.   IEEE Transactions on Neural Networks and Learning Systems

Classification and regression of ELM, LVQ and SVM for E-nose data of strawberry juice

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

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

Optimizing Savitzky–Golay Parameters for Improving Spectral Resolution and Quantification in Infrared Spectroscopy

(2013) Boris Zimmermann et al.   APPLIED SPECTROSCOPY

Differential physiological responses of different rice (Oryza sativa) cultivars to elevated night temperature during vegetative growth

(2013) Ulrike Glaubitz et al.   FUNCTIONAL PLANT BIOLOGY

Extreme Learning Machine for Regression and Multiclass Classification

(2011) Guang-Bin Huang et al.   IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS