Identification of Malaria Disease Using Machine Learning Models-Reference-Cited by-同舟云学术

Identification of Malaria Disease Using Machine Learning Models

Published:2023-02-22 Issue: Volume: Page:
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Container-title:2023 Fifth International Conference on Electrical, Computer and Communication Technologies (ICECCT)
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Author:

Kuzhaloli S.¹,Thenappan S.²,T Premavathi³,Nivedita V.⁴,Mageshbabu M.⁵,Navaneethan S.⁶

Affiliation:

1. Agni College of Technology,Department of Mechatronics Engineering,Thalambur,India

2. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Department of Electronics and Communication Engineering,Chennai,India

3. Marwadi University,Department of Computer Engineering,Rajkot,India

4. SRM Institute of Science and Technology,Department of Computer Science Engineering,Trichy,India

5. Saveetha School of Engineering,Chennai,India

6. Saveetha Engineering College,Department of Electronics and Communication Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10179605/10179606/10179665.pdf?arnumber=10179665

Reference17 articles.

1. A Traditional Analysis for Efficient Data Mining with Integrated Association Mining into Regression Techniques

2. Fastai: A Layered API for Deep Learning

3. Implementation and evaluation of personalized intelligent tutoring system;singh;International Journal of Innovative Technology and Exploring Engineering (IJITEE),2019

4. Lightweight Deep Learning for Malaria Parasite Detection Using Cell-Image of Blood Smear Images

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