A5102018228- Remote Sensing in Agriculture
- Energy Load and Power Forecasting
- Remote Sensing and LiDAR Applications
- Market Dynamics and Volatility
- Structural Health Monitoring Techniques
- Stock Market Forecasting Methods
- Energy, Environment, Economic Growth
- Smart Agriculture and AI
- Land Use and Ecosystem Services
- Ultrasonics and Acoustic Wave Propagation
- Microwave and Dielectric Measurement Techniques
- Spectroscopy and Chemometric Analyses
- Geochemistry and Geologic Mapping
- Thermography and Photoacoustic Techniques
- History and advancements in chemistry
- Computational Drug Discovery Methods
- Grey System Theory Applications
- Forecasting Techniques and Applications
- Advanced Antenna and Metasurface Technologies
- Non-Destructive Testing Techniques
- Microwave Engineering and Waveguides
- Machine Learning in Materials Science
- Atmospheric and Environmental Gas Dynamics
West China Medical Center of Sichuan University
2025
Farmland Irrigation Research Institute
2022-2024
Chinese Academy of Agricultural Sciences
2022-2024
Beihang University
2019-2024
Nanjing University of Information Science and Technology
2020-2023
Ministry of Education of the People's Republic of China
2023
Southeast University
2008
This article provides a quantitative nondestructive damage detection method through Lamb wave technique assisted by an artificial neural network model for fiber-reinforced composite structures. For simulating damages with variety of sizes, rectangular Teflon tapes different lengths and widths are applied on unidirectional carbon fiber–reinforced polymer plate. Two characteristic parameters, amplitude index phase index, defined to evaluate effects the shape in The relationships between...
Nitrogen (N) is an important factor limiting crop productivity, and accurate estimation of the N content in winter wheat can effectively monitor growth status. The objective this study was to evaluate ability unmanned aerial vehicle (UAV) platform with multiple sensors estimate using machine learning algorithms; collect multispectral (MS), red-green-blue (RGB), thermal infrared (TIR) images construct a multi-source data fusion dataset; predict random forest regression (RFR), support vector...
Timely and accurate monitoring of winter wheat yields is beneficial for the macro-guidance agricultural production making precise management decisions throughout reproductive period. The accuracy crop yield prediction can be improved by combining unmanned aerial vehicle (UAV)-based multispectral data with deep learning algorithms. In this study, 16 yield-sensitive vegetation indices were constructed, their correlations analyzed based on UAV at heading, flowering, filling stages. Seven input...
Hypertension is a significant public health challenge in high-altitude areas of Tibet, China. This study aimed to investigate the current epidemiologic status hypertension Tibet and provide insights for enhancing prevention control strategies this population. A cross-sectional was conducted across seven cities autonomous Region. Using multi-stage stratified cluster sampling, 8,992 residents aged 35-75 were enrolled. prevalence, awareness, treatment, rates, associated risk factors analyzed....
Purpose With the rapid development of financial market, stock index futures have been one important instruments. Predicting accurately can bring considerable benefits for investors. However, traditional models do not perform well in forecasting. This study put forward a novel hybrid model to improve predictive accuracy futures. Design/methodology/approach multivariate deep learning framework based on extreme gradient boosting (XGBoost) price First, original sequences were decomposed into...
Accurately assessing maize crop height (CH) and aboveground biomass (AGB) is crucial for understanding growth light-use efficiency. Unmanned aerial vehicle (UAV) remote sensing, with its flexibility high spatiotemporal resolution, has been widely applied in phenotyping studies. Traditional canopy models (CHMs) are significantly influenced by image resolution meteorological factors. In contrast, the accumulated incremental (AIH) extracted from point cloud data offers a more accurate...
Introduction Crop height and above-ground biomass (AGB) serve as crucial indicators for monitoring crop growth estimating grain yield. Timely accurate acquisition of wheat AGB data is paramount guiding agricultural production. However, traditional methods suffer from drawbacks such time-consuming, laborious destructive sampling. Methods The current approach to using unmanned aerial vehicles (UAVs) remote sensing relies solely on spectral data, resulting in low accuracy estimation. This...
Corrosion damage presents significant challenges to the safety and reliability of connected vehicles. However, traditional non-destructive methods often fall short when applied complex automotive structures, such as bolted lap joints. To address this limitation, study introduces a novel corrosion monitoring approach using Lamb wave-based weighted fusion imaging methods. First, Minimum Variance Distortionless Response (MVDR) is utilized process wave signals collected under bolt-loosening...
The measurement of inhomogeneity and irregularity dielectric plate requires metering equipments with high spatial resolution power contactless method.As we know, a system thin beam has power.In this paper, compressed (BCS) is proposed to improve the for measuring at millimeter wave band.The shape BCS be carefully designed achieve very which constant over long range.The can applied detect from cell its beam.Simulations FDTD FEM experiments are carried out confirm performance BCS, both...
Molecular fingerprints are significant cheminformatics tools to map molecules into vectorial space according their characteristics in diverse functional groups, atom sequences, and other topological structures. In this paper, we investigate a novel molecular fingerprint Anonymous-FP that possesses abundant perception about the underlying interactions shaped small, medium, large-scale chains. detail, possible chains from each molecule sampled extended as anonymous using an encoding manner....