Wood quality of Chinese zither panel based on convolutional neural network and near-infrared spectroscopy
Published 2019 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Wood quality of Chinese zither panel based on convolutional neural network and near-infrared spectroscopy
Authors
Keywords
-
Journal
APPLIED OPTICS
Volume 58, Issue 18, Pages 5122
Publisher
The Optical Society
Online
2019-06-19
DOI
10.1364/ao.58.005122
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Accurate and rapid detection of soil and fertilizer properties based on visible/near-infrared spectroscopy
- (2018) Zhidan Lin et al. APPLIED OPTICS
- t-SNE Visualization of Large-Scale Neural Recordings
- (2018) George Dimitriadis et al. NEURAL COMPUTATION
- Deep learning in remote sensing scene classification: a data augmentation enhanced convolutional neural network framework
- (2017) Xingrui Yu et al. GIScience & Remote Sensing
- Real-time vibration-based structural damage detection using one-dimensional convolutional neural networks
- (2017) Osama Abdeljaber et al. JOURNAL OF SOUND AND VIBRATION
- Detection of melamine adulteration in milk by near-infrared spectroscopy and one-class partial least squares
- (2017) Hui Chen et al. SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
- A novel combined application of capacitive method and near-infrared spectroscopy for predicting the density and moisture content of solid wood
- (2017) Vu Thi Hong Tham et al. WOOD SCIENCE AND TECHNOLOGY
- Rapid classification of Chinese quince (Chaenomeles speciosa Nakai) fruit provenance by near-infrared spectroscopy and multivariate calibration
- (2016) Wenhao Shao et al. ANALYTICAL AND BIOANALYTICAL CHEMISTRY
- Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?
- (2016) Nima Tajbakhsh et al. IEEE TRANSACTIONS ON MEDICAL IMAGING
- Identification of Pinus species related to historic architecture in Korea using NIR chemometric approaches
- (2016) Sung-Wook Hwang et al. JOURNAL OF WOOD SCIENCE
- Aspect extraction for opinion mining with a deep convolutional neural network
- (2016) Soujanya Poria et al. KNOWLEDGE-BASED SYSTEMS
- Spectral–spatial classification of hyperspectral images using deep convolutional neural networks
- (2015) Jun Yue et al. Remote Sensing Letters
- Motor response investigation in individuals with cerebral palsy using near infrared spectroscopy: pilot study
- (2014) Ujwal Chaudhary et al. APPLIED OPTICS
- Discrimination of healthy and carious teeth using laser-induced breakdown spectroscopy and partial least square discriminant analysis
- (2014) Meisam Gazmeh et al. APPLIED OPTICS
- Convolutional Neural Networks for Distant Speech Recognition
- (2014) IEEE SIGNAL PROCESSING LETTERS
- The fault feature extraction and classification of gear using principal component analysis and kernel principal component analysis based on the wavelet packet transform
- (2014) Renping Shao et al. MEASUREMENT
- A Review of Recent Near-Infrared Research for Wood and Paper (Part 2)
- (2013) Satoru Tsuchikawa et al. APPLIED SPECTROSCOPY REVIEWS
- A Review of Band Assignments in near Infrared Spectra of Wood and Wood Components
- (2011) Manfred Schwanninger et al. JOURNAL OF NEAR INFRARED SPECTROSCOPY
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search