4.6 Article

A New Method of Mixed Gas Identification Based on a Convolutional Neural Network for Time Series Classification

相关参考文献

注意:仅列出部分参考文献,下载原文获取全部文献信息。
Article Chemistry, Analytical

Development of a LeNet-5 Gas Identification CNN Structure for Electronic Noses

Guangfen Wei et al.

SENSORS (2019)

Article Computer Science, Information Systems

Mixture Gases Classification Based on Multi-Label One-Dimensional Deep Convolutional Neural Network

Xiaojin Zhao et al.

IEEE ACCESS (2019)

Article Chemistry, Analytical

Gas Classification Using Deep Convolutional Neural Networks

Pai Peng et al.

SENSORS (2018)

Article Geochemistry & Geophysics

Deep Learning Earth Observation Classification Using ImageNet Pretrained Networks

Dimitrios Marmanis et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2016)

Article Computer Science, Artificial Intelligence

Deep Filter Banks for Texture Recognition, Description, and Segmentation

Mircea Cimpoi et al.

INTERNATIONAL JOURNAL OF COMPUTER VISION (2016)

Article Agronomy

Early identification of potato storage disease using an array of metal-oxide based gas sensors

Massimo F. Rutolo et al.

POSTHARVEST BIOLOGY AND TECHNOLOGY (2016)

Article Engineering, Multidisciplinary

Determination of authenticity of brand perfume using electronic nose prototypes

Jacek Gebicki et al.

MEASUREMENT SCIENCE AND TECHNOLOGY (2015)

Article Engineering, Electrical & Electronic

Deep Learning-Based Classification of Hyperspectral Data

Yushi Chen et al.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2014)

Article Chemistry, Analytical

Detecting Changes of a Distant Gas Source with an Array of MOX Gas Sensors

Sepideh Pashami et al.

SENSORS (2012)

Article Chemistry, Analytical

Predicting gas concentrations of ternary gas mixtures for a predefined 3D sample space

Bekir Mumyakmaz et al.

SENSORS AND ACTUATORS B-CHEMICAL (2008)

Review Chemistry, Analytical

Gas sensors based on conducting polymers

Hua Bai et al.

SENSORS (2007)

Article Engineering, Environmental

Measurement of odor intensity by an electronic nose

G Hudon et al.

JOURNAL OF THE AIR & WASTE MANAGEMENT ASSOCIATION (2000)