An Ensemble-based Deep Learning Model for Multi-class Flower Recognition-Reference-Cited by-同舟云学术

An Ensemble-based Deep Learning Model for Multi-class Flower Recognition

Published:2023-06-16 Issue: Volume: Page:
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Container-title:2023 International Conference on Next-Generation Computing, IoT and Machine Learning (NCIM)
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Author:

Rabbi Md Fozle¹,Dola Sraboni Das¹,Taha Noorjahan Binte Kader¹,Al Mahmud Tamim¹,Islam Muhammad Nazrul²,Razzaque Md. Abdur³,Al Faisal Faiz¹

Affiliation:

1. Green University of Bangladesh,Dept. of Computer Science and Engineering,Dhaka,Bangladesh

2. Military Institute of Science and Technology,Dept. of Computer Science and Engineering,Dhaka,Bangladesh

3. University of Dhaka,Dept. of Computer Science and Engineering,Dhaka,Bangladesh,1000

Publisher

IEEE

Link

Reference27 articles.

2. Deep residual learning for image recognition;kaiming;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,0

3. The Tabu_Genetic Algorithm: A Novel Method for Hyper-Parameter Optimization of Learning Algorithms;baosu;Electronics 8,2019

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