Metaheuristic-based automated design of Convolutional Neural Network architecture for plant seedlings classification-Reference-Cited by-同舟云学术

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Metaheuristic-based automated design of Convolutional Neural Network architecture for plant seedlings classification

Published:2023-10-25 Issue: Volume: Page:
ISSN:
Container-title:2023 5th International Conference on Pattern Analysis and Intelligent Systems (PAIS)
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Author:

Aliouat Wahiba¹,Badis Lamis²,Bouchiba Kenza²

Affiliation:

1. University of Bouira,LIM Laboratory,Department of Computer Sciences Faculty of Sciences and Applied Sciences,Algeria

2. University of Bouira,Department of Computer Sciences Faculty of Sciences and Applied Sciences,Algeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10321956/10321971/10321990.pdf?arnumber=10321990

Reference28 articles.

1. Crops and weeds classification using convolutional neural networks via optimization of transfer learning parameters;binguitcha-fare;Int J EngAdvTechnol (IJEAT),2019

2. An Improved Deep Neural Network for Classification of Plant Seedling Images

3. Classification of plant seedlings using deep convolutional neural network architectures

4. A Faster R-CNN-Based Model for the Identification of Weed Seedling

5. IOT-Enabled Model for Weed Seedling Classification: An Application for Smart Agriculture

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. Automated design of Convolutional Neural Network architecture using Gray Wolf Optimization for plant seedlings classification;2024 8th International Conference on Image and Signal Processing and their Applications (ISPA);2024-04-21

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