- Image Retrieval and Classification Techniques
- Soil and Land Suitability Analysis
- Multimodal Machine Learning Applications
- Soil Geostatistics and Mapping
- Solidification and crystal growth phenomena
- Advanced Image and Video Retrieval Techniques
- Crystallization and Solubility Studies
- Smart Agriculture and AI
- Statistical Distribution Estimation and Applications
- Survey Sampling and Estimation Techniques
Hunan Agricultural University
2024-2025
Deep hashing has gained widespread attention in cross-modal retrieval due to its low cost and efficient advantages. However, existing methods either focus solely on exploring relationships between data points—which inevitably leads intra-class dispersion—or emphasize the points categories while neglecting preservation of inter-class structural relationships, resulting suboptimal hash codes. To address this issue, paper proposes a Class-Guided Hashing (DCGH) method, which approaches model...
Accurate prediction of soil properties is essential for sustainable land management and precision agriculture. This study presents an LSTM-CNN-Attention model that integrates temporal spatial feature extraction with attention mechanisms to improve predictive accuracy. Utilizing the LUCAS dataset, analyzes spectral data estimate key properties, including organic carbon (OC), nitrogen (N), calcium carbonate (CaCO3), pH (in H2O). The Long Short-Term Memory (LSTM) component captures...
Given a special type of triplet reciprocal-lattice vectors in the monoclinic and orthorhombic systems, there exist eight three-phase structure seminvariants (3PSSs) for pair isomorphous structures. The first neighborhood each these 3PSSs is defined by six magnitudes joint probability distribution corresponding factors derived according to Hauptman's principle. This leads conditional 3PSSs, assuming as known its neighborhood. distributions can be directly used yield reliable estimates (0 or...
The X‐ray anisotropic absorption of larellar multiphase materials wil influence the accuracy texture determination. A simple method is presented in this work, which enables an approximation to true be obtained using ccnventional goniameter. By measurement error can reduced a certain extent.