A5002323373- Spectroscopy and Chemometric Analyses
- Advanced Chemical Sensor Technologies
- Mineral Processing and Grinding
- Geochemistry and Geologic Mapping
- Remote-Sensing Image Classification
- Gas Sensing Nanomaterials and Sensors
- Currency Recognition and Detection
- Cultural Heritage Materials Analysis
- Machine Learning and ELM
- Security and Verification in Computing
- Food Supply Chain Traceability
- Organic Light-Emitting Diodes Research
- Luminescence and Fluorescent Materials
- Image and Signal Denoising Methods
- Olfactory and Sensory Function Studies
- Advanced Sensor Technologies Research
- Fuzzy Logic and Control Systems
- Solid State Laser Technologies
- Fire Detection and Safety Systems
- Perovskite Materials and Applications
- Advanced X-ray and CT Imaging
- Biosensors and Analytical Detection
- Time Series Analysis and Forecasting
- Face and Expression Recognition
- Meat and Animal Product Quality
University of Electronic Science and Technology of China
2023-2024
Huzhou University
2023-2024
Northeast Electric Power University
2021-2023
Chongqing University of Technology
2022
Long-lived organic room-temperature phosphorescence (RTP) has sparked intense explorations, owing to the outstanding optical performance and exceptional applications. Because triplet excitons in RTP experience multifarious relaxation processes resulting from their high sensitivity, spin multiplicity, inevitable nonradiative decay, external quenchers, boosting by modulated triplet-exciton behavior is challenging. Herein, we report that cross-linked polyphosphazene nanospheres can effectively...
The quality of soybeans from different growing areas is different. It common for low-quality to fake high-quality soybeans. This paper proposes a lightweight residual convolutional neural network (LRCNN) combined with an electronic nose (e-nose) realize soybean traceability. Firstly, obtain gas information through the e-nose. Then, according characteristics e-nose detection data, grouped heterogeneous kernel-based convolution (GHConv) proposed, which effectively reduces number parameters...
Robots can acquire complex manipulation skills by learning policies from expert demonstrations, which is often known as vision-based imitation learning. Generating based on diffusion and flow matching models has been shown to be effective, particularly in robotic tasks. However, recursion-based approaches are inference inefficient working noise distributions policy distributions, posing a challenging trade-off between efficiency quality. This motivates us propose FlowPolicy, novel framework...
Polypropylene (PP) is one of the raw materials to produce automotive interior parts. Under high-temperature condition, volatile gas PP will have a pungent odor. Therefore, an effective detection method should be proposed. In this work, lightweight interleaved residual dense network (LIRD) proposed and coupled with electronic nose (e-nose) classify industrial used in interior. The LIRD combines group convolution (LIGC) (RDN). LIGC module effectively reduce number parameters calculation...
A deep spectral prediction network is proposed for the determination of soil heavy metal element concentrations.
The relationship between XRF spectra and potentially toxic elements in soils is accurately established using a combination of efficient Q-learning sparse partial least squares.
A U-shaped network with attention modules (AUNet) is proposed and combined a hyperspectral system to effectively identify different inks. It provides an effective detection method for illegal tampering documents.
Potentially toxic metals in soils are accurately predicted using hierarchical depth neural networks by X-ray fluorescence spectroscopy.
Robots can acquire complex manipulation skills by learning policies from expert demonstrations, which is often known as vision-based imitation learning. Generating based on diffusion and flow matching models has been shown to be effective, particularly in robotics tasks. However, recursion-based approaches are inference inefficient working noise distributions policy distributions, posing a challenging trade-off between efficiency quality. This motivates us propose FlowPolicy, novel framework...
The phase-conjugate reflectivities are measured relating with the incident angle in SBN:Cu crystal. signal intensity dependence of crystal response time and reflectivity is given. decay proved varying applied electric field.