Enhancing Bird Species Classification: A Weighted Average Transfer Learning Ensemble Approach-Reference-Cited by-同舟云学术

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Enhancing Bird Species Classification: A Weighted Average Transfer Learning Ensemble Approach

Published:2024-01-04 Issue: Volume:8 Page:1401-1406
ISSN:
Container-title:2024 2nd International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT)
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Author:

Murthy Polisetty Venkata Ramana¹,Chokkalingam SP²

Affiliation:

1. Amrita School of Computing Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering (AIE),Chennai,India,601103

2. Amrita School of Computing Amrita Vishwa Vidyapeetham,Department of Computer Science and Engineering,Chennai,India,601103

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10467178/10467214/10467506.pdf?arnumber=10467506

Reference24 articles.

1. ‘Tell me where the birds have gone’ – Reconstructing historical influence of major environmental drivers on bird populations from memories of ornithologists of an older generation

2. A state-of-the-art review on birds as indicators of biodiversity: Advances, challenges, and future directions

3. Automated bird species identification using deep Learning with image and audio;Tanay;EPRA International Journal of Multidisciplinary Research (IJMR),2022

4. Hybrid Features-Based Ensembled Residual Convolutional Neural Network for Bird Acoustic Identification

5. Comparing recurrent convolutional neural networks for large scale bird species classification

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