Underground sewer pipe condition assessment based on convolutional neural networks

Underground sewer pipe condition assessment based on convolutional neural networks is a paper indexed in ScholarIQ from OpenAlex.

How many citations does Underground sewer pipe condition assessment based on convolutional neural networks have?

Underground sewer pipe condition assessment based on convolutional neural networks has 210 citations in the OpenAlex counts ScholarIQ stores.

When was Underground sewer pipe condition assessment based on convolutional neural networks published?

Underground sewer pipe condition assessment based on convolutional neural networks has 2019 year in the ScholarIQ index.

What is the open-access status of Underground sewer pipe condition assessment based on convolutional neural networks?

Underground sewer pipe condition assessment based on convolutional neural networks has closed oa status in the ScholarIQ index.

What is the DOI of Underground sewer pipe condition assessment based on convolutional neural networks?

The DOI for Underground sewer pipe condition assessment based on convolutional neural networks is on the source record.

What is the OpenAlex record for Underground sewer pipe condition assessment based on convolutional neural networks?

The OpenAlex for Underground sewer pipe condition assessment based on convolutional neural networks is on the source record.