Comparative study on the performance of deep learning implementation in the edge computing: Case study on the plant leaf disease identification
Comparative study on the performance of deep learning implementation in the edge computing: Case study on the plant leaf disease identification is a paper indexed in PICO Portal from OpenAlex.
How many citations does Comparative study on the performance of deep learning implementation in the edge computing: Case study on the plant leaf disease identification have?
Comparative study on the performance of deep learning implementation in the edge computing: Case study on the plant leaf disease identification has 49 citations in the OpenAlex counts PICO Portal stores.
When was Comparative study on the performance of deep learning implementation in the edge computing: Case study on the plant leaf disease identification published?
Comparative study on the performance of deep learning implementation in the edge computing: Case study on the plant leaf disease identification has 2022 year in the PICO Portal index.
What is the open-access status of Comparative study on the performance of deep learning implementation in the edge computing: Case study on the plant leaf disease identification?
Comparative study on the performance of deep learning implementation in the edge computing: Case study on the plant leaf disease identification has gold oa status in the PICO Portal index.
What is the DOI of Comparative study on the performance of deep learning implementation in the edge computing: Case study on the plant leaf disease identification?
The DOI for Comparative study on the performance of deep learning implementation in the edge computing: Case study on the plant leaf disease identification is on the source record.
What is the OpenAlex record for Comparative study on the performance of deep learning implementation in the edge computing: Case study on the plant leaf disease identification?
The OpenAlex for Comparative study on the performance of deep learning implementation in the edge computing: Case study on the plant leaf disease identification is on the source record.