Kunwei Liao
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View article: Estimation on atmospheric environment bearing capacity of animal breeding based on H<sub>2</sub>S emissions
Estimation on atmospheric environment bearing capacity of animal breeding based on H<sub>2</sub>S emissions Open
View article: Estimation on farmland carrying capacity of animal manure in soil acidification prevention and control
Estimation on farmland carrying capacity of animal manure in soil acidification prevention and control Open
View article: Token-Aware Editing of Internal Activations for Large Language Model Alignment
Token-Aware Editing of Internal Activations for Large Language Model Alignment Open
View article: Extraction of Tobacco Planting Information Based on UAV High-Resolution Remote Sensing Images
Extraction of Tobacco Planting Information Based on UAV High-Resolution Remote Sensing Images Open
Tobacco is a critical cash crop in China, so its growing status has received more and more attention. How to acquire accurate plant area, row spacing, and plant spacing at the same time have been key points for its grow status monitoring a…
View article: CD-MQANet: Enhancing Multi-Objective Semantic Segmentation of Remote Sensing Images through Channel Creation and Dual-Path Encoding
CD-MQANet: Enhancing Multi-Objective Semantic Segmentation of Remote Sensing Images through Channel Creation and Dual-Path Encoding Open
As a crucial computer vision task, multi-objective semantic segmentation has attracted widespread attention and research in the field of remote sensing image analysis. This technology has important application value in fields such as land …
View article: HYPERSPECTRAL IMAGE CLASSIFICATION WITH LOCALIZED SPECTRAL FILTERING-BASED GRAPH ATTENTION NETWORK
HYPERSPECTRAL IMAGE CLASSIFICATION WITH LOCALIZED SPECTRAL FILTERING-BASED GRAPH ATTENTION NETWORK Open
Graph-based deep learning has been proved a promising approach that has an apparent superiority for learning graph data and modeling spatial topological relations between features. In particular, graph attention networks (GATs) are good at…