Haiping Si
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Author Swipe
View article: DDSUD: dynamically detecting subsequence uncertainty and diversity for active learning in imbalanced Chinese sentiment analysis
DDSUD: dynamically detecting subsequence uncertainty and diversity for active learning in imbalanced Chinese sentiment analysis Open
Sentiment structure analysis in Chinese text typically relies on supervised deep-learning methods for sequence labeling. However, obtaining large-scale labeled datasets is both resource-intensive and time-consuming. To address these challe…
View article: Research on the Identification of Wheat Fusarium Head Blight Based on Multispectral Remote Sensing from UAVs
Research on the Identification of Wheat Fusarium Head Blight Based on Multispectral Remote Sensing from UAVs Open
Fusarium head blight (FHB), a severe ailment triggered by fungal pathogens, poses a considerable risk to both the yield and quality of winter wheat worldwide, underscoring the urgency for precise detection measures that can effectively mit…
View article: A Survey of the Applications of Text Mining for the Food Domain
A Survey of the Applications of Text Mining for the Food Domain Open
In the food domain, text mining techniques are extensively employed to derive valuable insights from large volumes of text data, facilitating applications such as aiding food recalls, offering personalized recipes, and reinforcing food saf…
View article: Analysis of Research Progress on Peanut Disease and Insect Pest Control Based on VOS Viewer
Analysis of Research Progress on Peanut Disease and Insect Pest Control Based on VOS Viewer Open
Peanut cultivation spans across more than 100 countries globally as a vital oilseed crop. Nevertheless, the menace of pests and diseases poses a threat to peanut yield and quality, consequently impeding economic prosperity. To delve into t…
View article: A Dual-Branch Model Integrating CNN and Swin Transformer for Efficient Apple Leaf Disease Classification
A Dual-Branch Model Integrating CNN and Swin Transformer for Efficient Apple Leaf Disease Classification Open
Apples, as the fourth-largest globally produced fruit, play a crucial role in modern agriculture. However, accurately identifying apple diseases remains a significant challenge as failure in this regard leads to economic losses and poses t…
View article: Enhancing Food Safety Review Classification with Large Language Models and Label Embedding
Enhancing Food Safety Review Classification with Large Language Models and Label Embedding Open
View article: A Cross-Chain Access Control Mechanism Based on Blockchain and the Threshold Paillier Cryptosystem
A Cross-Chain Access Control Mechanism Based on Blockchain and the Threshold Paillier Cryptosystem Open
View article: Maize Leaf Compound Disease Recognition Based on Attention Mechanism
Maize Leaf Compound Disease Recognition Based on Attention Mechanism Open
In addition to the conventional situation of detecting a single disease on a single leaf in corn leaves, there is a complex phenomenon of multiple diseases overlapping on a single leaf (compound diseases). Current research on corn leaf dis…
View article: A Study on Agricultural Commodity Price Prediction Model Based on Secondary Decomposition and Long Short-Term Memory Network
A Study on Agricultural Commodity Price Prediction Model Based on Secondary Decomposition and Long Short-Term Memory Network Open
In order to address the significant prediction errors resulting from the substantial fluctuations in agricultural product prices and the non-linear features, this paper proposes a hybrid forecasting model based on variational mode decompos…
View article: A secure cross-domain interaction scheme for blockchain-based intelligent transportation systems
A secure cross-domain interaction scheme for blockchain-based intelligent transportation systems Open
In the intelligent transportation system (ITS), secure and efficient data communication among vehicles, road testing equipment, computing nodes, and transportation agencies is important for building a smart city-integrated transportation s…
View article: Mapping Wheat Take-All Disease Levels from Airborne Hyperspectral Images Using Radiative Transfer Models
Mapping Wheat Take-All Disease Levels from Airborne Hyperspectral Images Using Radiative Transfer Models Open
Take-all is a root disease that can severely reduce wheat yield, and wheat leaves with take-all disease show a large amount of chlorophyll loss. The PROSAIL model has been widely used for the inversion of vegetation physiological parameter…
View article: Apple Surface Defect Detection Method Based on Weight Comparison Transfer Learning with MobileNetV3
Apple Surface Defect Detection Method Based on Weight Comparison Transfer Learning with MobileNetV3 Open
Apples are ranked third, after bananas and oranges, in global fruit production. Fresh apples are more likely to be appreciated by consumers during the marketing process. However, apples inevitably suffer mechanical damage during transport,…
View article: A New Backbone Network for Improving Faster R-Cnn Detection Accuracy
A New Backbone Network for Improving Faster R-Cnn Detection Accuracy Open
View article: Winter Wheat Yield Prediction Using an LSTM Model from MODIS LAI Products
Winter Wheat Yield Prediction Using an LSTM Model from MODIS LAI Products Open
Yield estimation using remote sensing data is a research priority in modern agriculture. The rapid and accurate estimation of winter wheat yields over large areas is an important prerequisite for food security policy formulation and implem…
View article: Transfer-learning-based cloud detection for Zhuhai-1 satellite hyperspectral imagery
Transfer-learning-based cloud detection for Zhuhai-1 satellite hyperspectral imagery Open
The Zhuhai-1 hyperspectral satellite can simultaneously obtain spectral information in 32 spectral bands and effectively obtain accurate information on land features through integrated hyperspectral observations of the atmosphere and land,…
View article: A Novel Approach to Grade Cotton Aphid Damage Severity with Hyperspectral Index Reconstruction
A Novel Approach to Grade Cotton Aphid Damage Severity with Hyperspectral Index Reconstruction Open
As a kind of important insect pest of cotton crops, aphids cause serious damage in cotton yields and quality worldwide, posing a significant risk to economic losses. Automatic detection of the pest damage level plays an important role in c…
View article: Multi-Class Classification of Agricultural Data Based on Random Forest and Feature Selection
Multi-Class Classification of Agricultural Data Based on Random Forest and Feature Selection Open
Agricultural production and operation produce a large amount of data, which hides valuable knowledge. Data mining technology can effectively explore the connection between various factors from the massive agricultural data. Classification …
View article: Analysis of Socket Communication Technology Based on Machine Learning Algorithms Under TCP/IP Protocol in Network Virtual Laboratory System
Analysis of Socket Communication Technology Based on Machine Learning Algorithms Under TCP/IP Protocol in Network Virtual Laboratory System Open
When communicating between node machines in different locations in the network virtual lab system, the network layer shields the differences of the lower layer networks and cannot provide uniform data transmission of connectionless packets…
View article: Procyclicality of Local Government Debt Financing and Its Theoretical Explanation
Procyclicality of Local Government Debt Financing and Its Theoretical Explanation Open
View article: Ontology-based User Modeling for Chinese Crop Germplasm Resources Information System
Ontology-based User Modeling for Chinese Crop Germplasm Resources Information System Open
Personalized service has achieved great success in the field of e-commerce, it is also used to agriculture information service for improving service efficiency, and a key feature in developing successful personalized service is to construc…
View article: Approach of hybrid soft computing for agricultural data classification
Approach of hybrid soft computing for agricultural data classification Open
Soft computing is an important computational paradigm, and it provides the capability of flexible information processing to solve real world problems. Agricultural data classification is one of the important applications of computing tech…
View article: One Attribute-Based Proxy Signature
One Attribute-Based Proxy Signature Open
For Identity-based proxy signature, when the original signer cannot sign for some reason，he delegate his signing capabilities to a person with an identity, in order to expand the scope of the proxy signer, an entity with a series of attrib…