Indigenous food recognition model based on various convolutional neural network architectures for gastronomic tourism business analytics
In gastronomic tourism, food is viewed as the central tourist attraction. Specifically, indigenous food is known to represent the expression of local culture and identity. To promote gastronomic tourism, it is critical to have a model for the food business analytics system. This research undertakes...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English English |
| Published: |
Multidisciplinary Digital Publishing Institute (MDPI)
2021
|
| Subjects: | |
| Online Access: | https://eprints.ums.edu.my/id/eprint/32566/1/Indigenous%20food%20recognition%20model%20based%20on%20various%20convolutional%20neural%20network%20architectures%20for%20gastronomic%20tourism%20business%20analytics.pdf https://eprints.ums.edu.my/id/eprint/32566/2/Indigenous%20food%20recognition%20model%20based%20on%20various%20convolutional%20neural%20network%20architectures%20for%20gastronomic%20tourism%20business%20analytics%20_ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/32566/ https://www.mdpi.com/2078-2489/12/8/322/htm https://doi.org/10.3390/info12080322 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Be the first to leave a comment!