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Wafer defect identification with optimal hyper-parameter tuning of support vector machine using the deep feature of ResNet 101

PaperCitations, authors & open-access status

Wafer defect identification with optimal hyper-parameter tuning of support vector machine using the deep feature of ResNet 101 is a paper indexed in PICO Portal from OpenAlex.

How many citations does Wafer defect identification with optimal hyper-parameter tuning of support vector machine using the deep feature of ResNet 101 have?

PICO Portalcitation count

Wafer defect identification with optimal hyper-parameter tuning of support vector machine using the deep feature of ResNet 101 has 13 citations in the OpenAlex counts PICO Portal stores.

When was Wafer defect identification with optimal hyper-parameter tuning of support vector machine using the deep feature of ResNet 101 published?

PICO Portalyear

Wafer defect identification with optimal hyper-parameter tuning of support vector machine using the deep feature of ResNet 101 has 2023 year in the PICO Portal index.

What is the open-access status of Wafer defect identification with optimal hyper-parameter tuning of support vector machine using the deep feature of ResNet 101?

PICO Portaloa status

Wafer defect identification with optimal hyper-parameter tuning of support vector machine using the deep feature of ResNet 101 has closed oa status in the PICO Portal index.

What is the DOI of Wafer defect identification with optimal hyper-parameter tuning of support vector machine using the deep feature of ResNet 101?

PICO Portaldoi

The DOI for Wafer defect identification with optimal hyper-parameter tuning of support vector machine using the deep feature of ResNet 101 is on the source record.

What is the OpenAlex record for Wafer defect identification with optimal hyper-parameter tuning of support vector machine using the deep feature of ResNet 101?

PICO Portalopenalex

The OpenAlex for Wafer defect identification with optimal hyper-parameter tuning of support vector machine using the deep feature of ResNet 101 is on the source record.

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