A relatively simple statistical analysis method can more accurately predict the risk of landslides caused by heavy rain, ...
On December 31, 2025, the State Administration for Market Regulation (Standardization Administration of China) approved and ...
Deep Feature Extraction Method for Automatic Classification and Processing of Accounting Information
Abstract: In the context of advancing intelligent accounting systems within the broader field of computational methods and data processing, this study focuses on overcoming critical limitations ...
A deep learning framework combines convolutional and bidirectional recurrent networks to improve protein function prediction from genomic ...
A research group from the European Commission Joint Research Centre has developed a new PV climatic classification, the first to address annual yield and performance ratio. Their work resulted in 10 ...
Background Suicide rates have increased over the last couple of decades globally, particularly in the United States and among populations with lower economic status who present at safety-net ...
ABSTRACT: In the manufacturing world lies a series of hazards mostly from the constant moving of machine components. The safety of manufacturing workers is crucial in the center of the sector, and the ...
1 Information Statistics Center, Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China 2 School of Computer Science and Technology, Hubei Business ...
1 San Juan Bautista School of Medicine, Caguas, Puerto Rico, United States 2 Independent Researcher, Monmouth County, NJ, United States Background: In many countries, patients with headache disorders ...
Abstract: The fusion of hyperspectral and light detection and ranging (LiDAR) data could significantly improve land-cover classification performance. Most existing feature fusion methods focus on ...
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