A Machine Learning Method for the Detection of Brown Core in the Chinese Pear Variety Huangguan Using a MOS-Based E-Nose

Data-Dependent Generalization Bounds for Multi-Class Classification

(2019) Yunwen Lei et al.   IEEE TRANSACTIONS ON INFORMATION THEORY

Application of Machine Learning in Microbiology

(2019) Kaiyang Qu et al.   Frontiers in Microbiology

SMOTE based class-specific extreme learning machine for imbalanced learning

(2019) Bhagat Singh Raghuwanshi et al.   KNOWLEDGE-BASED SYSTEMS

Peach growth cycle monitoring using an electronic nose

(2019) Henike Guilherme Jordan Voss et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

The combined effect of ultraviolet-C irradiation and lysozyme coatings treatment on control of brown heart in Huangguan pears

(2019) Fangxu Xu et al.   SCIENTIA HORTICULTURAE

Exogenous ethylene alleviates chilling injury of ‘Huangguan’ pear by enhancing the proline content and antioxidant activity

(2019) Chuangqi Wei et al.   SCIENTIA HORTICULTURAE

Event classification for natural gas pipeline safety monitoring based on long short-term memory network and Adam algorithm

(2019) Yang An et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Control of brown heart in Huangguan pears with 1-methylcyclopropene microbubbles treatment

(2019) Fangxu Xu et al.   SCIENTIA HORTICULTURAE

Evaluation of 1-methylcyclopropene (1-MCP) and low temperature conditioning (LTC) to control brown of Huangguan pears

(2019) Fangxu Xu et al.   SCIENTIA HORTICULTURAE

Application of propyl gallate alleviates pericarp browning in harvested longan fruit by modulating metabolisms of respiration and energy

(2018) Yifen Lin et al.   FOOD CHEMISTRY

Characterization of volatile profile from ten different varieties of Chinese jujubes by HS-SPME/GC–MS coupled with E-nose

(2018) Qinqin Chen et al.   FOOD RESEARCH INTERNATIONAL

An Electronic Nose for Royal Delicious Apple Quality Assessment – A Tri-layer Approach

(2018) Madeshwari Ezhilan et al.   FOOD RESEARCH INTERNATIONAL

Fast and Robust RBF Neural Network Based on Global K-means Clustering with Adaptive Selection Radius for Sound Source Angle Estimation

(2018) Xiaopeng Yang et al.   IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION

A review of algorithms for SAW sensors e-nose based volatile compound identification

(2018) Olivier Hotel et al.   SENSORS AND ACTUATORS B-CHEMICAL

A novel method using MOS electronic nose and ELM for predicting postharvest quality of cherry tomato fruit treated with high pressure argon

(2018) Lei Feng et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Towards automatic encoding of medical procedures using convolutional neural networks and autoencoders

(2018) Yihan Deng et al.   ARTIFICIAL INTELLIGENCE IN MEDICINE

An Image Classification Method Based on Deep Neural Network with Energy Model

(2018) Yang Yang et al.   CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES

Food intake biomarkers for apple, pear, and stone fruit

(2018) Marynka Ulaszewska et al.   Genes and Nutrition

Bionic Electronic Nose Based on MOS Sensors Array and Machine Learning Algorithms Used for Wine Properties Detection

(2018) Huixiang Liu et al.   SENSORS

Storage of pears

(2018) Adriano Arriel Saquet   SCIENTIA HORTICULTURAE

Identification of Wine According to Grape Variety Using Near-Infrared Spectroscopy Based on Radial Basis Function Neural Networks and Least-Squares Support Vector Machines

(2017) Jing Yu et al.   Food Analytical Methods

Novel method for the producing area identification of Zhongning Goji berries by electronic nose

(2017) Qi Li et al.   FOOD CHEMISTRY

The prediction of food additives in the fruit juice based on electronic nose with chemometrics

(2017) Shanshan Qiu et al.   FOOD CHEMISTRY

Hypobaric storage reduced core browning of Yali pear fruits

(2017) Jian Li et al.   SCIENTIA HORTICULTURAE

Multi layer ELM-RBF for multi-label learning

(2016) Nan Zhang et al.   APPLIED SOFT COMPUTING

Electronic Nose as a Tool for Monitoring the Authenticity of Food. A Review

(2016) Anna Gliszczyńska-Świgło et al.   Food Analytical Methods

Two fast and accurate heuristic RBF learning rules for data classification

(2016) Modjtaba Rouhani et al.   NEURAL NETWORKS

An improved maximum spread algorithm with application to complex-valued RBF neural networks

(2016) Yuanshan Liu et al.   NEUROCOMPUTING

The effects of modified atmosphere packaging on core browning and the expression patterns of PPO and PAL genes in ‘Yali’ pears during cold storage

(2015) Yudou Cheng et al.   LWT-FOOD SCIENCE AND TECHNOLOGY

Machine learning: Trends, perspectives, and prospects

(2015) M. I. Jordan et al.   SCIENCE

New Neural Network-based Approaches for GPS GDOP Classification based on Neuro-Fuzzy Inference System, Radial Basis Function, and Improved Bee Algorithm

(2014) Milad Azarbad et al.   APPLIED SOFT COMPUTING

Calcium content and its correlated distribution with skin browning spot in bagged Huangguan pear

(2014) Yu Dong et al.   PROTOPLASMA

Chemical composition and antioxidant and anti-inflammatory potential of peels and flesh from 10 different pear varieties (Pyrus spp.)

(2013) Xia Li et al.   FOOD CHEMISTRY

Comparing the learning effectiveness of BP, ELM, I-ELM, and SVM for corporate credit ratings

(2013) Haoming Zhong et al.   NEUROCOMPUTING

Extreme Learning Machine for Regression and Multiclass Classification

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

Artificial neural networks in foodstuff analyses: Trends and perspectives A review

(2009) Federico Marini   ANALYTICA CHIMICA ACTA

Fully complex-valued radial basis function networks: Orthogonal least squares regression and classification

(2008) S. Chen et al.   NEUROCOMPUTING