A5008019037- Spectroscopy and Chemometric Analyses
- Advanced Chemical Sensor Technologies
- Water Quality Monitoring and Analysis
- Solar and Space Plasma Dynamics
- Industrial Vision Systems and Defect Detection
- Postharvest Quality and Shelf Life Management
- Phytochemicals and Antioxidant Activities
- Spectroscopy Techniques in Biomedical and Chemical Research
- Stellar, planetary, and galactic studies
- Heavy Metal Exposure and Toxicity
- Astro and Planetary Science
- Smart Agriculture and AI
- Leaf Properties and Growth Measurement
- Heavy metals in environment
- Air Quality and Health Impacts
- Date Palm Research Studies
- Optical Polarization and Ellipsometry
- Material Properties and Applications
- Optical Wireless Communication Technologies
- Infrastructure Maintenance and Monitoring
- Bee Products Chemical Analysis
- Natural Language Processing Techniques
- Analytical Chemistry and Sensors
- Topic Modeling
- Essential Oils and Antimicrobial Activity
Northeast Forestry University
2021-2025
China Mobile (China)
2017-2025
Shandong University
2021-2023
Guangzhou Marine Geological Survey
2022
Merchants Chongqing Communications Research and Design Institute
2021
Northwest A&F University
2014-2020
Ministry of Ecology and Environment
2017-2019
Huazhong University of Science and Technology
2017-2019
Yangzhou Vocational University
2017
University of Chinese Academy of Sciences
2015
Abstract A portable sugar content detector for intact kiwifruits was developed using a visible/near‐infrared spectrometer over the wavelength of 350–1,100 nm as spectra collector, tablet computer controller, micro‐halogen lamp light source, and self‐made “Y” shape optical fiber transmitter receiver. The software applied to collect spectra, establish prediction model, predict by Java language. Partial least square regression model established determine kiwifruits. Contrasted with obtained...
Nondestructive evaluation of the internal quality pears during maturation is helpful to instruct production and give advice on harvesting. This study explores feasibility predicting soluble solids content (SSC), firmness, moisture (MC) stage using near-infrared (NIR) spectroscopy. The NIR spectra 185 "Longxiang" were obtained in wavelength range 833–2500 nm. Partial least square (PLS) squares support vector machine (LSSVM) used develop determination models. LSSVM better performance than PLS,...
Abstract Mechanical damage of fresh fruit caused by compression and collision during harvesting transportation is an urgent problem in the agricultural industry. The purpose this work was to detect early mechanical pears using hyperspectral imaging technology advanced modeling techniques transfer learning convolutional neural networks. visible/near‐infrared system applied obtain intact damaged at three time points (2, 12, 24 h) after or damage. After images were preprocessed...
Infestations or parasitism by forestry pests can lead to adverse consequences for tree growth, development, and overall quality, ultimately resulting in ecological degradation. The identification localization of are utmost importance effective pest control within forest ecosystems. To tackle the challenges posed variations poses similarities between different classes, this study introduced a novel end-to-end detection algorithm that leverages deep convolutional neural networks (CNNs)...
Abstract The Spectral Imaging CoronaGraph (SICG) serves as the optical observation equipment of E-corona in Chinese Meridian Project Phase II, which aims at monitoring initial source solar activities. For purpose in-depth exploration and space weather forecast full chain Sun-Earth space, SICG is designed to work two wavelengths 637.4 nm 530.3 quasi-simultaneous mode. Thus photometric calibration more challenging guarantee accurate scientific data SICG. Two photometers are specially developed...
<title>Abstract</title> In the field of cybersecurity, verifying authenticity user identities is critical for combating fake accounts, bots, and malicious users. Although existing Multimodal Named Entity Recognition (MNER) methods have made some progress in most rely on extracting visual features through image encoders directly inputting them into cross-modal attention mechanisms. This approach often struggles to accurately align text with semantic understanding images complex network...
Abstract Due to the similarity and scale diversity between foreground background information of infrared images, missed false detection easily occurs in high-speed vehicle over-temperature region detection. Aimed at this problem, based on YOLOv10 framework, a multi-scale feature attention fusion improved YOLO (MFAF-YOLO) is proposed. Firstly, spatially enhanced efficient module designed bottleneck layer YOLOv10, combined with pixel-level mechanism, sensitive extraction capacity proposed...
In the field of cybersecurity, verifying authenticity user identities is critical for combating fake accounts, bots, and malicious users. Although existing Multimodal Named Entity Recognition (MNER) methods have made some progress in most rely on extracting visual features through image encoders directly inputting them into cross-modal attention mechanisms. This approach often struggles to accurately align text with semantic understanding images complex network environments. To address this...
Cadmium exposure has been inconsistently related with hypertension. However, epidemiologic data on the genetic susceptibility to hypertensive effect of cadmium are limited. We investigated whether associations between and hypertension risk differed by polymorphisms in MMPs genes. The present study 497 cases healthy controls was conducted a Chinese population. Urinary levels were measured inductively coupled plasma-mass spectrometer (ICP-MS). Multivariable logistic regression models analyzed...