Stacked Sparse Auto-Encoders (SSAE) Based Electronic Nose for Chinese Liquors Classification

Identification of Chinese Herbal Medicines with Electronic Nose Technology: Applications and Challenges

(2017) Huaying Zhou et al.   SENSORS

A New Method Combining KECA-LDA With ELM for Classification of Chinese Liquors Using Electronic Nose

(2016) Xue-Mei Jia et al.   IEEE SENSORS JOURNAL

A sparse auto-encoder-based deep neural network approach for induction motor faults classification

(2016) Wenjun Sun et al.   MEASUREMENT

Electronic Nose Testing Procedure for the Definition of Minimum Performance Requirements for Environmental Odor Monitoring

(2016) Lidia Eusebio et al.   SENSORS

A novel method for rapid discrimination of bulbus of Fritillaria by using electronic nose and electronic tongue technology

(2015) Shilong Yang et al.   Analytical Methods

Gas Recognition under Sensor Drift by Using Deep Learning

(2015) Qihe Liu et al.   INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS

Electronic-Nose Applications for Fruit Identification, Ripeness and Quality Grading

(2015) Manuela Baietto et al.   SENSORS

Reservoir computing compensates slow response of chemosensor arrays exposed to fast varying gas concentrations in continuous monitoring

(2015) Jordi Fonollosa et al.   SENSORS AND ACTUATORS B-CHEMICAL

Development of a Colorimetric Sensor Array for the Discrimination of Chinese Liquors Based on Selected Volatile Markers Determined by GC-MS

(2014) Jun-Jie Li et al.   JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY

Predicting backbone Cα angles and dihedrals from protein sequences by stacked sparse auto-encoder deep neural network

(2014) James Lyons et al.   JOURNAL OF COMPUTATIONAL CHEMISTRY

Electronic nose with a new feature reduction method and a multi-linear classifier for Chinese liquor classification

(2014) Yaqi Jing et al.   REVIEW OF SCIENTIFIC INSTRUMENTS

Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data

(2013) Hoo-Chang Shin et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Fast Classification of Meat Spoilage Markers Using Nanostructured ZnO Thin Films and Unsupervised Feature Learning

(2013) Martin Längkvist et al.   SENSORS

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE

Learning Hierarchical Features for Scene Labeling

(2012) Clement Farabet et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Chaos based neural network optimization for concentration estimation of indoor air contaminants by an electronic nose

(2012) Lei Zhang et al.   SENSORS AND ACTUATORS A-PHYSICAL

Multiclass classification of n-butanol concentrations with k-nearest neighbor algorithm and support vector machine in an electronic nose

(2012) Selda Güney et al.   SENSORS AND ACTUATORS B-CHEMICAL

Deep Machine Learning - A New Frontier in Artificial Intelligence Research [Research Frontier]

(2010) I Arel et al.   IEEE Computational Intelligence Magazine