Multisensory Culinary Image Classification based on SqueezeNet and Support Vector Machine-Reference-Cited by-同舟云学术

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Multisensory Culinary Image Classification based on SqueezeNet and Support Vector Machine

Published:2023-10-18 Issue: Volume:55 Page:1-6
ISSN:
Container-title:2023 IEEE 9th Information Technology International Seminar (ITIS)
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Author:

Soebandhi Santirianingrum¹,Sooai Adri Gabriel²,Kristiningsih ¹,Nugroho Aryo³

Affiliation:

1. Universitas Wijaya Kusuma,Program Studi Manajemen,Surabaya,Indonesia

2. Program Studi Ilmu Komputer Pusat Unggulan Universitas bidang AI untuk Pariwisata dan Agrikultur, Universitas Katolik Widya Mandira,Kupang,Indonesia

3. Universitas Narotama,Program Studi Sistem Informasi,Surabaya,Indonesia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10419870/10419872/10420111.pdf?arnumber=10420111

Reference27 articles.

1. Indonesian food culture mapping: a starter contribution to promote Indonesian culinary tourism

2. Factors influencing the visual deliciousness / eye-appeal of food

3. Trends in food sensory science

4. The Effects of Instagram Use, Social Comparison, and Self-Esteem on Social Anxiety: A Survey Study in Singapore

5. Keep it #Unreal: Exploring Instagram Users’ Engagement With Virtual Influencers in Tourism Contexts

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