Defect detection of industry wood veneer based on NAS and multi-channel mask R-CNN J Shi, Z Li, T Zhu, D Wang, C Ni Sensors 20 (16), 4398, 2020 | 93 | 2020 |
Automatic inspection machine for maize kernels based on deep convolutional neural networks C Ni, D Wang, R Vinson, M Holmes, Y Tao Biosystems engineering 178, 131-144, 2019 | 76 | 2019 |
Variable weighted convolutional neural network for the nitrogen content quantization of Masson pine seedling leaves with near-infrared spectroscopy C Ni, D Wang, Y Tao Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 209, 32-39, 2019 | 73 | 2019 |
A novel method of infrared image denoising and edge enhancement C Ni, Q Li, LZ Xia Signal Processing 88 (6), 1606-1614, 2008 | 73 | 2008 |
Online sorting of the film on cotton based on deep learning and hyperspectral imaging C Ni, Z Li, X Zhang, X Sun, Y Huang, L Zhao, T Zhu, D Wang Ieee Access 8, 93028-93038, 2020 | 54 | 2020 |
Inter-hour forecast of solar radiation based on the structural equation model and ensemble model T Zhu, Y Guo, C Wang, C Ni Energies 13 (17), 4534, 2020 | 14 | 2020 |
Convolution neural network based automatic corn kernel qualification C Ni, D Wang, M Holmes, R Vinson, Y Tao 2018 ASABE Annual International Meeting, 1, 2018 | 14 | 2018 |
Non-destructive testing of moisture and nitrogen content in Pinus Massoniana seedling leaves with NIRS based on MS-SC-CNN Z Huang, T Zhu, Z Li, C Ni Applied Sciences 11 (6), 2754, 2021 | 13 | 2021 |
Four-dimension deep learning method for flower quality grading with depth information X Sun, Z Li, T Zhu, C Ni Electronics 10 (19), 2353, 2021 | 12 | 2021 |
3d expression-invariant face verification based on transfer learning and siamese network for small sample size Z Li, H Zou, X Sun, T Zhu, C Ni Electronics 10 (17), 2128, 2021 | 8 | 2021 |
Detection and classification of defective hard candies based on image processing and convolutional neural networks J Wang, Z Li, Q Chen, K Ding, T Zhu, C Ni Electronics 10 (16), 2017, 2021 | 8 | 2021 |
Moisture Content Quantization of Masson Pine Seedling Leaf Based on Stacked Autoencoder with Near‐Infrared Spectroscopy C Ni, Y Zhang, D Wang Journal of Electrical and Computer Engineering 2018 (1), 8696202, 2018 | 8 | 2018 |
Nonsubsampled pyramid based adaptive anisotropic diffusion filtering for infrared image denoising C Ni, L Xia 2010 6th International Conference on Wireless Communications Networking and …, 2010 | 5 | 2010 |
Classification and quantitative determination of sodium benzoate in muddy flesh by near‐infrared reflectance spectroscopy Y Wang, C Ni, M Zhao, Y Liu Journal of Food Processing and Preservation 37 (6), 1043-1048, 2013 | 4 | 2013 |
A method for continuously monitoring the quality of Masson pine seedlings L Wang, Z Huang, H Gao, C Ni Plos one 16 (3), e0234592, 2021 | 3 | 2021 |
Study on extraction of morphological parameters of masson pine seedlings based on multi-view stereo vision. C Ni, Y Zhang, HD Gao, HS Li, XL Wang Journal of Forestry Engineering 3 (2), 123-128, 2018 | 3 | 2018 |
A Fast Online Classification Method of Solid Wood Floors Based on Stochastic Sampling and Machine Learning T Zhu, K Ding, Z Li, X Zhan, R Du, C Ni Electronics 10 (23), 2899, 2021 | 2 | 2021 |
Improved Chan-vese model based on wavelet multiscale transform for infrared image segmentation C Ni, Q Li, LZ Xia Opto-Electronic Engineering 36 (7), 94-99, 2009 | 2 | 2009 |
Wavelet forward and backward diffusion for infrared image denoising and edge enhancement N Chao, L Qi, X Liang-zheng Journal of Electronics & Information Technology 29 (9), 2033-2037, 2007 | 2 | 2007 |
Prediction model of moisture content of masson pine seedling roots based on near infrared spectroscopy C Ni, Y Zhang, HD Gao JOURNAL OF NANJING FORESTRY UNIVERSITY 43 (6), 91, 2019 | 1 | 2019 |