Improving Soybean Disease Prediction by Performing Late-Stage Re-Training Using Fireworks Algorithm-Reference-Cited by-同舟云学术

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Improving Soybean Disease Prediction by Performing Late-Stage Re-Training Using Fireworks Algorithm

Published:2022-10-14 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Distributed Computing, VLSI, Electrical Circuits and Robotics ( DISCOVER)
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Author:

Sandhu Angad¹,Krishna Rajashree¹,Gaur Ishita¹

Affiliation:

1. Manipal Institute of Technology,Manipal Academy of Higher Education,Department of CSE,Manipal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9973801/9974618/09974674.pdf?arnumber=9974674

Reference21 articles.

1. Classification of Soybean Pubescence from Multispectral Aerial Imagery

2. Fireworks Algorithm for Optimization

3. Neural Network training model for weather forecasting using Fireworks Algorithm

4. A Discrete Fireworks Algorithm for Solving Large-Scale Travel Salesman Problem

5. Extracting actionability from machine learning models by sub-optimal deterministic planning;lyu;arXiv preprint arXiv 1611 00873,2016

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep Learning for Plant Health: Accurate CMV Morbidity Scale Classification Using Faster R-CNN;2023 4th IEEE Global Conference for Advancement in Technology (GCAT);2023-10-06

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