Fine Tuned DBN Model for Food Ingredient Recognition: Introduction to Self-improved Tasmanian Devil Optimization Algorithm-Reference-Cited by-同舟云学术

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Fine Tuned DBN Model for Food Ingredient Recognition: Introduction to Self-improved Tasmanian Devil Optimization Algorithm

Published:2023-02-24 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Integrated Circuits and Communication Systems (ICICACS)
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Author:

Madival Sharanabasappa A.¹,Jawaligi Shivkumar S.²

Affiliation:

1. Sharnbasva University,Faculty of Engineering & Technology,Department of Computer Science and Engineering,Kalburgi,India

2. Sharnbasva University,Faculty of Engineering & Technology,Department of Electronic and Communication Engineering,Kalburgi,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10099473/10099480/10099841.pdf?arnumber=10099841

Reference38 articles.

1. Analysis of Multifloral Bee Pollen Pellets by Advanced Digital Imaging Applied to Functional Food Ingredients

2. Improved GWO-CS Algorithm-Based Optimal Routing Strategy in VANET;wagh;International Journal of Communication and Networking System,2019

3. Traditional food knowledge of Indonesia: a new high-quality food dataset and automatic recognition system

4. A new adaptive mutation technique for genetic algorithm

5. Smart Care Environment with Food Recognition for Personalization Support: A Case Study of Thai Seniors

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Visual Recognition of Food Ingredients: A Systematic Review;Computer Vision - Annual Volume 2023 [Working Title];2023-12-18

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