Weld seam object detection system based on the fusion of 2D images and 3D point clouds using interpretable neural networks
Weld seam object detection system based on the fusion of 2D images and 3D point clouds using interpretable neural networks is a paper indexed in ScholarIQ from OpenAlex.
How many citations does Weld seam object detection system based on the fusion of 2D images and 3D point clouds using interpretable neural networks have?
Weld seam object detection system based on the fusion of 2D images and 3D point clouds using interpretable neural networks has 16 citations in the OpenAlex counts ScholarIQ stores.
When was Weld seam object detection system based on the fusion of 2D images and 3D point clouds using interpretable neural networks published?
Weld seam object detection system based on the fusion of 2D images and 3D point clouds using interpretable neural networks has 2024 year in the ScholarIQ index.
What is the open-access status of Weld seam object detection system based on the fusion of 2D images and 3D point clouds using interpretable neural networks?
Weld seam object detection system based on the fusion of 2D images and 3D point clouds using interpretable neural networks has gold oa status in the ScholarIQ index.
What is the DOI of Weld seam object detection system based on the fusion of 2D images and 3D point clouds using interpretable neural networks?
The DOI for Weld seam object detection system based on the fusion of 2D images and 3D point clouds using interpretable neural networks is on the source record.
What is the PMID of Weld seam object detection system based on the fusion of 2D images and 3D point clouds using interpretable neural networks?
The PMID for Weld seam object detection system based on the fusion of 2D images and 3D point clouds using interpretable neural networks is on the source record.
What is the OpenAlex record for Weld seam object detection system based on the fusion of 2D images and 3D point clouds using interpretable neural networks?
The OpenAlex for Weld seam object detection system based on the fusion of 2D images and 3D point clouds using interpretable neural networks is on the source record.