Assessing deep convolutional neural network models and their comparative performance for automated medicinal plant identification from leaf images
Assessing deep convolutional neural network models and their comparative performance for automated medicinal plant identification from leaf images is a paper indexed in PICO Portal from OpenAlex.
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Assessing deep convolutional neural network models and their comparative performance for automated medicinal plant identification from leaf images has 70 citations in the OpenAlex counts PICO Portal stores.
When was Assessing deep convolutional neural network models and their comparative performance for automated medicinal plant identification from leaf images published?
Assessing deep convolutional neural network models and their comparative performance for automated medicinal plant identification from leaf images has 2023 year in the PICO Portal index.
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Assessing deep convolutional neural network models and their comparative performance for automated medicinal plant identification from leaf images has gold oa status in the PICO Portal index.
What is the DOI of Assessing deep convolutional neural network models and their comparative performance for automated medicinal plant identification from leaf images?
The DOI for Assessing deep convolutional neural network models and their comparative performance for automated medicinal plant identification from leaf images is on the source record.
What is the PMID of Assessing deep convolutional neural network models and their comparative performance for automated medicinal plant identification from leaf images?
The PMID for Assessing deep convolutional neural network models and their comparative performance for automated medicinal plant identification from leaf images is on the source record.
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The OpenAlex for Assessing deep convolutional neural network models and their comparative performance for automated medicinal plant identification from leaf images is on the source record.