Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State

Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State is a paper indexed in ScholarIQ from OpenAlex.

How many citations does Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State have?

Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State has 136 citations in the OpenAlex counts ScholarIQ stores.

When was Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State published?

Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State has 2019 year in the ScholarIQ index.

What is the open-access status of Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State?

Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State has bronze oa status in the ScholarIQ index.

What is the DOI of Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State?

The DOI for Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State is on the source record.

What is the OpenAlex record for Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State?

The OpenAlex for Deep CNN: A Machine Learning Approach for Driver Drowsiness Detection Based on Eye State is on the source record.