Geranium Prognosis: Unveiling Floral Mysteries through CNN & SVM Fusion-Reference-Cited by-同舟云学术

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Geranium Prognosis: Unveiling Floral Mysteries through CNN & SVM Fusion

Published:2024-01-27 Issue: Volume:1 Page:1-6
ISSN:
Container-title:2024 International Conference on Advancements in Smart, Secure and Intelligent Computing (ASSIC)
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Author:

Kaur Arshleen¹,Kukreja Vinay¹,Krishan ²,Kumar Rajender²,Srivastava Prateek³

Affiliation:

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

2. Bhagat Phool Singh Mahila Vishwavidyalaya,Department of Electronics and Communication Engineering,Sonipat,Haryana

3. Graphic Era Hill University,Computer Science and Engineering,Dehradun,Uttarakhand,India,248002

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10507884/10507806/10507934.pdf?arnumber=10507934

Reference20 articles.

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

2. Energy Consumption Prediction in Electrical Appliances of Commercial Buildings Using LSTM-GRU Model

3. Innovative Hybrid Framework for Precise Wheat Disease Identification: Stacked CNN Meets SVM

4. Revolutionizing Rice Disease Diagnosis: A Fusionof Convolutional Neural Networks and Support Vector Machines

5. Detection of Carolina Geranium (Geranium carolinianum) Growing in Competition with Strawberry Using Convolutional Neural Networks

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