Waveguide-enhanced Raman spectroscopy

MA Ettabib, Z Liu, MN Zervas, PN Bartlett… - Nature Reviews …, 2024 - nature.com
Waveguide-enhanced Raman spectroscopy (WERS) exploits the electromagnetic
enhancement that can be achieved at the surface of suitably designed waveguides to …

NGDNet: Nonuniform Gaussian-label distribution learning for infrared head pose estimation and on-task behavior understanding in the classroom

T Liu, J Wang, B Yang, X Wang - Neurocomputing, 2021 - Elsevier
Head pose estimation (HPE) under active infrared (IR) illumination has attracted much
attention in the fields of computer vision and machine learning. However, IRHPE often …

Flexible FTIR spectral imaging enhancement for industrial robot infrared vision sensing

T Liu, H Liu, YF Li, Z Chen, Z Zhang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Infrared (IR) spectral imaging sensing is a powerful visual technique for industrial material
recognition in robot vision systems. However, the imaging sensing data have issues of …

A fuzzy optimization strategy for the implementation of RBF LSSVR model in vis–NIR analysis of pomelo maturity

H Chen, H Qiao, L Xu, Q Feng… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Spectral analysis is a practical technology used for rapid analysis of fruit maturity. Least-
squares support vector regression (LSSVR) with radial basis function (RBF) kernel is an …

Image enhancement with the preservation of brightness and structures by employing contrast limited dynamic quadri-histogram equalization

Z Huang, Z Wang, J Zhang, Q Li, Y Shi - Optik, 2021 - Elsevier
Image enhancement has been widely applied to medical science, industry, agriculture, and
military, for which it is very important to preserve brightness and structures. In order to …

Facial expression recognition method with multi-label distribution learning for non-verbal behavior understanding in the classroom

T Liu, J Wang, B Yang, X Wang - Infrared Physics & Technology, 2021 - Elsevier
The automatical recognition of human facial expression has attracted attention in the field of
computer vision and machine learning. Previous works on this topic set many constraints …

Efficient blind signal reconstruction with wavelet transforms regularization for educational robot infrared vision sensing

T Liu, H Liu, Y Li, Z Zhang, S Liu - IEEE/ASME Transactions on …, 2018 - ieeexplore.ieee.org
Fourier transform infrared (FTIR) imaging spectrometers are often corrupted by the problems
of band overlap and random noise during the infrared spectrum acquisition process. Such …

Deep variational matrix factorization with knowledge embedding for recommendation system

X Shen, B Yi, H Liu, W Zhang, Z Zhang… - … on Knowledge and …, 2019 - ieeexplore.ieee.org
Automatic recommendation has become an increasingly relevant problem to industries,
which allows users to discover new items that match their tastes and enables the system to …

Accurate and efficient digital twin construction using concurrent end-to-end synchronization and multi-attribute data resampling

P Jia, X Wang, X Shen - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Accurate and efficient digital twin construction through real-time multi-attribute sensing and
remote concurrent data analysis is essential in supporting complex connected industrial …

Fast blind instrument function estimation method for industrial infrared spectrometers

T Liu, H Liu, Z Chen, AM Lesgold - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Infrared (IR) spectrometers, particularly the aging ones, often suffer from the band overlap
and random noise. In this paper, a blind estimation method based on discrete cosine …