Unlocking Insights: Diseases Recognition in the Human Eye Using CNN and Random Forest-Reference-Cited by-同舟云学术

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Unlocking Insights: Diseases Recognition in the Human Eye Using CNN and Random Forest

Published:2023-11-01 Issue: Volume:2 Page:1101-1107
ISSN:
Container-title:2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS)
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Author:

Suryavanshi Ankita¹,Kukreja Vinay¹,Jain Vishal²,Bhattacherjee Abhishek³

Affiliation:

1. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

2. Sharda School of Engineering & Technology Computer Science,Greater Noida,U.P,India

3. Lovely Professional University,Computer Science and Engineering,Phagwara,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389811/10389819/10390306.pdf?arnumber=10390306

Reference15 articles.

1. Early Detection and Classification of Tomato Leaf Disease Using High-Performance Deep Neural Network

2. Hatred and trolling detection transliteration framework using hierarchical LSTM in code-mixed social media text

3. Concatenated deep features with modified LSTM for enhanced crop disease classification

4. A Novel Hybrid Severity Prediction Model for Blast Paddy Disease Using Machine Learning

5. Automatic crop disease recognition by improved abnormality segmentation along with heuristic-based concatenated deep learning model

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