Quantum Resnet18 for Classifying and Predicting the Maize Leaf Diseases-Reference-Cited by-同舟云学术

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Quantum Resnet18 for Classifying and Predicting the Maize Leaf Diseases

Published:2024-04-17 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 International Conference on Recent Advances in Electrical, Electronics, Ubiquitous Communication, and Computational Intelligence (RAEEUCCI)
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Author:

Kujani T.¹,R Bhuvanya.²,T Sathya³,Arivubrakan P.¹,Usha V.¹,R Thangaselvi.¹

Affiliation:

1. Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology,Computer Science and Engineering,Chennai,Tamilnadu,India

2. Sri Ramachandra Institute of Higher Education and Research,Sri Ramachandra Faculty of Engineering and Technology,Chennai,Tamilnadu,India

3. Sri Sairam Engineering College,Computer Science and Business Systems,Chennai,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10547720/10547724/10547895.pdf?arnumber=10547895

Reference13 articles.

1. Explainable Heart Disease Prediction Using Ensemble-Quantum Machine Learning Approach

2. Maize leaf disease classification using deep convolutional neural networks

3. Transfer learning in hybrid classical-quantum neural networks

4. Support vector machine for multiclass classification using quantum annealers;Dema

5. Quantum Computing: Principles and Applications

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