A5100636090- Spectroscopy and Chemometric Analyses
- Meat and Animal Product Quality
- Bee Products Chemical Analysis
- Hand Gesture Recognition Systems
- Medical Image Segmentation Techniques
- Image Processing Techniques and Applications
- Water Quality Monitoring and Analysis
- Terahertz technology and applications
- Muscle activation and electromyography studies
- Optical Coherence Tomography Applications
- Animal Behavior and Reproduction
- Identification and Quantification in Food
- Advanced Chemical Sensor Technologies
- Wildlife Ecology and Conservation
- Water Quality Monitoring Technologies
- Robotics and Sensor-Based Localization
- Spectroscopy Techniques in Biomedical and Chemical Research
- Image Enhancement Techniques
- Advanced Image and Video Retrieval Techniques
- Silkworms and Sericulture Research
- Healthcare and Venom Research
- Advanced Sensor and Energy Harvesting Materials
- Microplastics and Plastic Pollution
- Advanced Neural Network Applications
Southwest University
2018-2025
The Affiliated Yongchuan Hospital of Chongqing Medical University
2023
Chongqing Medical University
2023
East China Jiaotong University
2023
Silkworm pupae (SP), the pupal stage of an edible insect, have strong potential in food, medicine, and cosmetic industries. Sex sorting is essential to enhance nutritional content genetic traits SP crossbreeding but it remains labor intensive time consuming. An intelligent method needed urgently improve efficiency productivity. To address problem, automatic sex-separation system was developed based on computer vision deep learning. Specifically, gonad features, a novel real-time sex...
It is effective to accurately discriminate the sex of silkworm pupae with same varieties based on near infrared spectroscopy. However, when model promoted classify new pupae, model's performance becomes worse, due cultivation environment and changing. In aims improving generalization ability accuracy model, this paper proposed a updating strategy semi-supervised learning. First, support vector machine identification was built after original spectra pretreated by Savitzky-Golay convolution...
As for machine vision-based intelligent system in the application of discriminating and sorting sex silkworm pupae, tail gonad was unique physiological feature. However, motion blur, resulting from live pupa's writhing at moment capturing image, could lose textures structures (such as edge etc.) dramatically, which casted great challenges identification. To increase image quality relieve difficulty discrimination caused by an effective approach that including three stages proposed this work....
As for machine vision-based intelligent system in the application of discriminating and sorting sex silkworm pupae, tail gonad was unique physiological feature. However, motion blur, resulting from live pupa’s writhing at moment capturing image, could lose textures structures (such as edge etc.) dramatically, which casted great challenges identification. To increase image quality relieve difficulty discrimination caused by an effective approach that including three stages proposed this work....
Abstract A feasibility study on variety discrimination was organized for 12 wheat varieties before warehousing by applying the Terahertz time-domain spectroscopy (THz-TDS) technology in combination with convolutional neural network (CNN) considering time-consuming and complex traditional methods of that require great number pretreatment processes. In experiment, original spectra (TDS) range 0.1~2.0THz were acquired, frequency domain (FDS), refractive index absorption coefficient 0.1~1.4THz...