Detecting and counting harvested fish and identifying fish types in electronic monitoring system videos using deep convolutional neural networks

Detecting and counting harvested fish and identifying fish types in electronic monitoring system videos using deep convolutional neural networks is a paper indexed in ScholarIQ from OpenAlex.

How many citations does Detecting and counting harvested fish and identifying fish types in electronic monitoring system videos using deep convolutional neural networks have?

Detecting and counting harvested fish and identifying fish types in electronic monitoring system videos using deep convolutional neural networks has 77 citations in the OpenAlex counts ScholarIQ stores.

When was Detecting and counting harvested fish and identifying fish types in electronic monitoring system videos using deep convolutional neural networks published?

Detecting and counting harvested fish and identifying fish types in electronic monitoring system videos using deep convolutional neural networks has 2020 year in the ScholarIQ index.

What is the open-access status of Detecting and counting harvested fish and identifying fish types in electronic monitoring system videos using deep convolutional neural networks?

Detecting and counting harvested fish and identifying fish types in electronic monitoring system videos using deep convolutional neural networks has bronze oa status in the ScholarIQ index.

What is the DOI of Detecting and counting harvested fish and identifying fish types in electronic monitoring system videos using deep convolutional neural networks?

The DOI for Detecting and counting harvested fish and identifying fish types in electronic monitoring system videos using deep convolutional neural networks is on the source record.

What is the OpenAlex record for Detecting and counting harvested fish and identifying fish types in electronic monitoring system videos using deep convolutional neural networks?

The OpenAlex for Detecting and counting harvested fish and identifying fish types in electronic monitoring system videos using deep convolutional neural networks is on the source record.