Results 121 to 130 of about 5,444 (194)

BDNet: A Real-Time Biomedical Image Denoising Network with Gradient Information Enhancement Loss. [PDF]

Biosensors (Basel)
Shi L, Feng X, Gong P, Song D, Zhang H, Liu L, Zhang Y, Li M.   +7 more
europepmc   +1 more source

DCDW-YOLOv11: An Intelligent Defect-Detection Method for Key Transmission-Line Equipment. [PDF]

Sensors (Basel)
Wang D, Song R, Liu M, Wang X, Zhang C, Wang Z, Zhao D.   +6 more
europepmc   +1 more source

An Effective Surface Defect Classification Method Based on RepVGG with CBAM Attention Mechanism (RepVGG-CBAM) for Aluminum Profiles

An Effective Surface Defect Classification Method Based on RepVGG with CBAM Attention Mechanism (RepVGG-CBAM) for Aluminum Profiles
The automatic classification of aluminum profile surface defects is of great significance in improving the surface quality of aluminum profiles in practical production. This classification is influenced by the small and unbalanced number of samples and lack of uniformity in the size and spatial distribution of aluminum profile surface defects.
openaire  

Deep learning-based forest fire detection using an improved SSD algorithm with CBAM. [PDF]

PLoS One
Zhang D, Zhang Y, Dong L, Ruan S, Liu Z.
europepmc   +1 more source

Research on Geographical Origin Traceability of <i>Salvia miltiorrhiza</i> by Combining Two-Trace Two-Dimensional (2T2D) Correlation Spectroscopy and Improved DeiT Model. [PDF]

Plants (Basel)
Yang J, Chen K, Zhou Y, Zheng J, Sun L, Zhang Y, Zhou Z.   +6 more
europepmc   +1 more source

Motion analysis driven by table tennis pose and analysis of participation motivation and athlete satisfaction based on artificial intelligence YOLOv8. [PDF]

Sci Rep
Yu K, Samsudin SB, Ramlan MA, Manaf FBA, Cong Y.   +4 more
europepmc   +1 more source

Multi-Scale Feature Fusion and Attention-Enhanced R2U-Net for Dynamic Weight Monitoring of Chicken Carcasses. [PDF]

Animals (Basel)
Hua T, Zou P, Zhang A, Chen R, Bai H, Zhao W, Fan Q, Chang G.   +7 more
europepmc   +1 more source

Optimization method for catching deviation of table tennis training robot based on physical motion model and YOLOv3. [PDF]

Sci Rep
Wang X.
europepmc   +1 more source

Enhancing the weed segmentation in diverse crop fields using computationally effective concatenated attention U-Net with convolutional block attention module. [PDF]

Sci Rep
Arumuga Arun R, Umamaheswari S, Mohamed Meerasha I, Mohankumar B.   +3 more
europepmc   +1 more source

Application of real-time detection transformer based on convolutional block attention module and grouped convolution in maize seedling. [PDF]

Front Plant Sci
Wu Y, Yuan S, Tang Y, Tang L.
europepmc   +1 more source