Lei He
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View article: Agrobacterium-mediated root organogenesis and open treatment system (AgroROOTs) for root functional genomics studies in cotton
Agrobacterium-mediated root organogenesis and open treatment system (AgroROOTs) for root functional genomics studies in cotton Open
The plant root system plays crucial roles in nutrient uptake, stress tolerance, and overall plant health. However, research on root functions has significantly lagged behind that of aboveground organs due to the lack of efficient research …
View article: Study on the Localization Technology for Giant Salamanders Using Passive UHF RFID and Incomplete D-Tr Measurement Data
Study on the Localization Technology for Giant Salamanders Using Passive UHF RFID and Incomplete D-Tr Measurement Data Open
View article: Multi-scale extreme climate disaster prediction model integrated with ConvLSTM: taking rainstorm and flood disaster as an example
Multi-scale extreme climate disaster prediction model integrated with ConvLSTM: taking rainstorm and flood disaster as an example Open
As one of the most influential and harmful disasters in extreme climate events, rainstorm and flood threaten people’s lives, property and social stability seriously. The research applied the historical disaster data to predict future risk …
View article: Research on soybean leaf disease recognition in natural environment based on improved Yolov8
Research on soybean leaf disease recognition in natural environment based on improved Yolov8 Open
The rapid and accurate identification of soybean diseases is critical for optimizing both yield and quality. Traditional image recognition techniques face notable limitations in terms of generalization and accuracy, particularly when taske…
View article: RLK-YOLOv8: multi-stage detection of strawberry fruits throughout the full growth cycle in greenhouses based on large kernel convolutions and improved YOLOv8
RLK-YOLOv8: multi-stage detection of strawberry fruits throughout the full growth cycle in greenhouses based on large kernel convolutions and improved YOLOv8 Open
Introduction In the context of intelligent strawberry cultivation, achieving multi-stage detection and yield estimation for strawberry fruits throughout their full growth cycle is essential for advancing intelligent management of greenhous…
View article: Multi-Class Guided GAN for Remote-Sensing Image Synthesis Based on Semantic Labels
Multi-Class Guided GAN for Remote-Sensing Image Synthesis Based on Semantic Labels Open
In the scenario of limited labeled remote-sensing datasets, the model’s performance is constrained by the insufficient availability of data. Generative model-based data augmentation has emerged as a promising solution to this limitation. W…
View article: Controlled-SAM and Context Promoting Network for Fine-Grained Semantic Segmentation
Controlled-SAM and Context Promoting Network for Fine-Grained Semantic Segmentation Open
Fine-grained semantic segmentation of remote sensing imagery is critical for applications such as land use analysis and agricultural monitoring. However, it remains challenging due to the subtle inter-class differences between visually sim…
View article: Enhanced Thermal Properties of Polyethylene Glycol/Boron Nitride Nanosheet Composite Phase Change Materials: Molecular Dynamics Simulations
Enhanced Thermal Properties of Polyethylene Glycol/Boron Nitride Nanosheet Composite Phase Change Materials: Molecular Dynamics Simulations Open
View article: Intelligent Recommendation of Multi-Scale Response Strategies for Land Drought Events
Intelligent Recommendation of Multi-Scale Response Strategies for Land Drought Events Open
Currently, land drought events have become a frequent and serious global disaster. How to address these droughts has become a major issue for researchers. Traditional response strategies for land drought events have been determined by expe…
View article: GLCANet: Global–Local Context Aggregation Network for Cropland Segmentation from Multi-Source Remote Sensing Images
GLCANet: Global–Local Context Aggregation Network for Cropland Segmentation from Multi-Source Remote Sensing Images Open
Cropland is a fundamental basis for agricultural development and a prerequisite for ensuring food security. The segmentation and extraction of croplands using remote sensing images are important measures and prerequisites for detecting and…
View article: Controllable Traffic Simulation through LLM-Guided Hierarchical Reasoning and Refinement
Controllable Traffic Simulation through LLM-Guided Hierarchical Reasoning and Refinement Open
Evaluating autonomous driving systems in complex and diverse traffic scenarios through controllable simulation is essential to ensure their safety and reliability. However, existing traffic simulation methods face challenges in their contr…
View article: Integration of Relation Filtering and Multi-Task Learning in GlobalPointer for Entity and Relation Extraction
Integration of Relation Filtering and Multi-Task Learning in GlobalPointer for Entity and Relation Extraction Open
The rise of knowledge graphs has been instrumental in advancing artificial intelligence (AI) research. Extracting entity and relation triples from unstructured text is crucial for the construction of knowledge graphs. However, Chinese text…
View article: Research on Named Entity Recognition Based on Gated Interaction Mechanisms
Research on Named Entity Recognition Based on Gated Interaction Mechanisms Open
Using long short-term memory (LSTM) networks to build a named entity recognition model is important for the task of named entity recognition. However, traditional memory networks lack a direct connection between input information and hidde…
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: Multiscale Multilayer (Alcrsin/Crn)N/Cr/(Alcrsin/Crn)N Coatings with Both Infrared Stealth and Tribological Properties
Multiscale Multilayer (Alcrsin/Crn)N/Cr/(Alcrsin/Crn)N Coatings with Both Infrared Stealth and Tribological Properties Open
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: Validation Analysis of Drought Monitoring Based on FY-4 Satellite
Validation Analysis of Drought Monitoring Based on FY-4 Satellite Open
Droughts are natural disasters that have significant implications for agricultural production and human livelihood. Under climate change, the drought process is accelerating, such as the intensification of flash droughts. The efficient and…
View article: MSFANet: Multiscale Fusion Attention Network for Road Segmentation of Multispectral Remote Sensing Data
MSFANet: Multiscale Fusion Attention Network for Road Segmentation of Multispectral Remote Sensing Data Open
With the development of deep learning and remote sensing technologies in recent years, many semantic segmentation methods based on convolutional neural networks (CNNs) have been applied to road extraction. However, previous deep learning-b…
View article: Analysis and Evaluation of Extreme Rainfall Trends and Geological Hazards Risk in the Lower Jinshajiang River
Analysis and Evaluation of Extreme Rainfall Trends and Geological Hazards Risk in the Lower Jinshajiang River Open
This research studied the risk assessment of geological hazards, such as landslides and debris flow, under the time series and trend characteristics of extreme precipitation events in the last 60 years in nine typical regions of the lower …
View article: Grading evaluation of non-API OCTG quality level based on working conditions
Grading evaluation of non-API OCTG quality level based on working conditions Open
The non-API standard series of oil country tubular goods (OCTG) have been developed rapidly to meet the increasing demand of the oil and gas fields, while the frequent accidents of non-API OCTG still occur due to the lack of a perfect qual…
View article: KEPL: Knowledge Enhanced Prompt Learning for Chinese Hypernym-Hyponym Extraction
KEPL: Knowledge Enhanced Prompt Learning for Chinese Hypernym-Hyponym Extraction Open
Modeling hypernym-hyponym ("is-a") relations is very important for many natural language processing (NLP) tasks, such as classification, natural language inference and relation extraction. Existing work on is-a relation extraction is mostl…
View article: MQANet: Multi-Task Quadruple Attention Network of Multi-Object Semantic Segmentation from Remote Sensing Images
MQANet: Multi-Task Quadruple Attention Network of Multi-Object Semantic Segmentation from Remote Sensing Images Open
Multi-object semantic segmentation from remote sensing images has gained significant attention in land resource surveying, global change monitoring, and disaster detection. Compared to other application scenarios, the objects in the remote…
View article: Road Extraction Based on Improved Convolutional Neural Networks with Satellite Images
Road Extraction Based on Improved Convolutional Neural Networks with Satellite Images Open
Deep learning has been applied in various fields for its effective and accurate feature learning capabilities in recent years. Currently, information extracted from remote sensing images with the learning methods has become the most releva…
View article: Research on Long Text Classification Model Based on Multi-Feature Weighted Fusion
Research on Long Text Classification Model Based on Multi-Feature Weighted Fusion Open
Text classification in the long-text domain has become a development challenge due to the significant increase in text data, complexity enhancement, and feature extraction of long texts in various domains of the Internet. A long text class…
View article: A Low-Grade Road Extraction Method Using SDG-DenseNet Based on the Fusion of Optical and SAR Images at Decision Level
A Low-Grade Road Extraction Method Using SDG-DenseNet Based on the Fusion of Optical and SAR Images at Decision Level Open
Low-grade roads have complex features such as geometry, reflection spectrum, and spatial topology in remotely sensing optical images due to the different materials of those roads and also because they are easily obscured by vegetation or b…
View article: Construction and application of the 3D geo-hazard monitoring and early warning platform
Construction and application of the 3D geo-hazard monitoring and early warning platform Open
As geo-hazard monitoring data increases in category and size, conventional geo-hazard information management systems, without a unified integration framework and visualized data display, are unable to satisfy the urgent needs of geo-hazard…
View article: An Improved Method for Soil Moisture Monitoring With Ensemble Learning Methods Over the Tibetan Plateau
An Improved Method for Soil Moisture Monitoring With Ensemble Learning Methods Over the Tibetan Plateau Open
Soil moisture (SM) is a key parameter of the hydrological process, which affects exchanges of water and heat at the land/atmosphere interface. The “trapezoid” (or “triangle”) method has been widely applied to SM monitoring based on the pix…
View article: KLMo: Knowledge Graph Enhanced Pretrained Language Model with Fine-Grained Relationships
KLMo: Knowledge Graph Enhanced Pretrained Language Model with Fine-Grained Relationships Open
Interactions between entities in knowledge graph (KG) provide rich knowledge for language representation learning. However, existing knowledge-enhanced pretrained language models (PLMs) only focus on entity information and ignore the fine-…
View article: Multi-Fidelity Aerodynamic Data Fusion with a Deep Neural Network Modeling Method
Multi-Fidelity Aerodynamic Data Fusion with a Deep Neural Network Modeling Method Open
To generate more high-quality aerodynamic data using the information provided by different fidelity data, where low-fidelity aerodynamic data provides the trend information and high-fidelity aerodynamic data provides value information, we …
View article: Multiple Aerodynamic Coefficient Prediction of Airfoils Using a Convolutional Neural Network
Multiple Aerodynamic Coefficient Prediction of Airfoils Using a Convolutional Neural Network Open
Both symmetric and asymmetric airfoils are widely used in aircraft design and manufacture, and they have different aerodynamic characteristics. In order to improve flight performance and ensure flight safety, the aerodynamic coefficients o…