Lifei Wei
Biographic Data
| ID | 6581291 |
|---|---|
| NAME | Lifei Wei |
| GIVEN NAMES | Lifei |
| FAMILY NAME | Wei |
| SIGNATURE | WEI L |
| AFFILIATIONS | Faculty of Resources and Environmental Science Hubei University Wuhan China |
| ORCID | 0000-0002-0243-9995 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2023 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
A Behavioral Drift-Aware Feature Extraction Method for Transaction Fraud Detection
Transaction fraud detection (TFD) remains a substantial challenge in the digital economy. Feature extraction is crucial in TFD, as relying solely on raw transactional features fails to capture the complex and dynamic nature of fraudulent behavior. Existing methods primarily rely on manually aggregated features, failing to account for the evolving nature of fraud patterns. These limitations undermine the accuracy and adaptability of TFD systems. I…
Sentinel‐2 and UAV Hyperspectral Image Data Fusion Used in Natural Disasters Cause Soil Pollution of the Distribution Map
Natural disasters, particularly, those occurring near mining areas, can damage the soil and lead to pollution, resulting in significant harm to the ecosystem. Timely and large‐scale investigation of soil composition in areas affected by geological disasters is crucial for monitoring pollution. With the traditional method, soil samples were mainly collected manually for the survey, which was extremely constrained in terms of efficiency and accurac…
Spatial patterns and community structures of urban freight: Network insights into diesel and electric truck mobility
Understanding the mobility patterns of urban freight trucks is crucial for optimizing freight systems and urban planning. With the increasing adoption of electric trucks in urban areas, the spatial dynamics of urban freight are undergoing substantial changes. However, the lack of research on the mobility patterns of electric trucks has resulted in an incomplete understanding of the evolving freight network structure. This study constructs urban f…
Satellite‐air‐ground integrated multi‐source earth observation and machine learning processing brain for tailings reservoir monitoring and rapid emergency response
Tailings reservoirs are an inevitable part of the production process of metal mines and are typical of post‐mining and post‐industrial lands. Tailings reservoirs are often located in mountainous areas so earth observation and remote sensing is a necessary monitoring means. However, existing observation are generally based on satellite, air or ground platforms, Combined satellite‐air‐ground observation is rare, and the coordination ability of proc…
No prominent works on this page.
Satellite‐air‐ground integrated multi‐source earth observation and machine learning processing brain for tailings reservoir monitoring and rapid emergency response
Tailings reservoirs are an inevitable part of the production process of metal mines and are typical of post‐mining and post‐industrial lands. Tailings reservoirs are often located in mountainous areas so earth observation and remote sensing is a necessary monitoring means. However, existing observation are generally based on satellite, air or ground platforms, Combined satellite‐air‐ground observation is rare, and the coordination ability of proc…
Spatial patterns and community structures of urban freight: Network insights into diesel and electric truck mobility
Understanding the mobility patterns of urban freight trucks is crucial for optimizing freight systems and urban planning. With the increasing adoption of electric trucks in urban areas, the spatial dynamics of urban freight are undergoing substantial changes. However, the lack of research on the mobility patterns of electric trucks has resulted in an incomplete understanding of the evolving freight network structure. This study constructs urban f…
A Behavioral Drift-Aware Feature Extraction Method for Transaction Fraud Detection
Transaction fraud detection (TFD) remains a substantial challenge in the digital economy. Feature extraction is crucial in TFD, as relying solely on raw transactional features fails to capture the complex and dynamic nature of fraudulent behavior. Existing methods primarily rely on manually aggregated features, failing to account for the evolving nature of fraud patterns. These limitations undermine the accuracy and adaptability of TFD systems. I…
Sentinel‐2 and UAV Hyperspectral Image Data Fusion Used in Natural Disasters Cause Soil Pollution of the Distribution Map
Natural disasters, particularly, those occurring near mining areas, can damage the soil and lead to pollution, resulting in significant harm to the ecosystem. Timely and large‐scale investigation of soil composition in areas affected by geological disasters is crucial for monitoring pollution. With the traditional method, soil samples were mainly collected manually for the survey, which was extremely constrained in terms of efficiency and accurac…
Engineering (2 works) · Automated Road and Building Extraction (1 works) · Automotive Engineering (1 works) · Data Mining Algorithms and Applications (1 works) · Data Stream Mining Techniques (1 works) · Database transaction (1 works) · Economic geography (1 works) · Environmental Science (1 works) · Feature extraction (1 works) · Geochemistry and Geologic Mapping (1 works)