Predicting the depth of penetration and weld bead width from the infra red thermal image of the weld pool using artificial neural network modeling

Predicting the depth of penetration and weld bead width from the infra red thermal image of the weld pool using artificial neural network modeling is a paper indexed in PICO Portal from OpenAlex.

How many citations does Predicting the depth of penetration and weld bead width from the infra red thermal image of the weld pool using artificial neural network modeling have?

Predicting the depth of penetration and weld bead width from the infra red thermal image of the weld pool using artificial neural network modeling has 101 citations in the OpenAlex counts PICO Portal stores.

When was Predicting the depth of penetration and weld bead width from the infra red thermal image of the weld pool using artificial neural network modeling published?

Predicting the depth of penetration and weld bead width from the infra red thermal image of the weld pool using artificial neural network modeling has 2011 year in the PICO Portal index.

What is the open-access status of Predicting the depth of penetration and weld bead width from the infra red thermal image of the weld pool using artificial neural network modeling?

Predicting the depth of penetration and weld bead width from the infra red thermal image of the weld pool using artificial neural network modeling has closed oa status in the PICO Portal index.

What is the DOI of Predicting the depth of penetration and weld bead width from the infra red thermal image of the weld pool using artificial neural network modeling?

The DOI for Predicting the depth of penetration and weld bead width from the infra red thermal image of the weld pool using artificial neural network modeling is on the source record.

What is the OpenAlex record for Predicting the depth of penetration and weld bead width from the infra red thermal image of the weld pool using artificial neural network modeling?

The OpenAlex for Predicting the depth of penetration and weld bead width from the infra red thermal image of the weld pool using artificial neural network modeling is on the source record.