Evaluation of Automatic Bacterial Classification Methods and Approaches-Reference-Cited by-同舟云学术

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Evaluation of Automatic Bacterial Classification Methods and Approaches

Published:2023-11-23 Issue: Volume:8 Page:1-6
ISSN:
Container-title:2023 9th International Conference on Smart Structures and Systems (ICSSS)
language:
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Author:

Keren F¹,Keziah F²,Fredrick Gnanaraj F³,Vanitha L⁴

Affiliation:

1. Dr. M.G.R. Educational and Research Institute,Department of Biotechnology,Chennai,India

2. Saveetha Engineering College,Department of Computer Science and Engineering,Chennai,India

3. Dr. M.G.R. Educational and Research Institute,Department of Mechanical Engineering,Chennai,India

4. S.A.Engineering College,Department of Electronics and Communication Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10406300/10406306/10407799.pdf?arnumber=10407799

Reference18 articles.

1. Bacterial Review: A Review;Pappupreethi;International Journal of Civil Engineering and Technology,2017

2. Text Book of Microbiology;Trivedi,2010

3. Environmental microorganism classification using conditional random fields and deep convolutional neural networks

4. Machine Learning and Deep Learning Based Computational Approaches in Automatic Microorganisms Image Recognition: Methodologies, Challenges, and Developments

5. Automated Detection of Tuberculosis Bacilli Using Deep Neural Networks with Sputum Smear Images

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