An Intelligent Deep Learning System for Identifying Bird Species

Author:

Nambiar Anila RaveendranORCID,K M RanjithaORCID,K V ShaheenaORCID

Publisher

QTanalytics India

Reference11 articles.

1. Anusha, K., Vasumathi, D., & Mittal, P. (2023). A Framework to Build and Clean Multilanguage Text Corpus for Emotion Detection using Machine Learning. Journal of Theoretical and Applied Information Technology, 101(3), 1344-1350.

2. Aruna, D., Jyostna, J., Radhika, N. S., K.Moulika, & N.Aminash. (2022). BIRD SPECIES IDENTIFICATION USING DEEP LEARNING. Dogo Rangsang Research Journal, 9(1). https://doi.org/10.36893.DRSR.2022.V09I01N01.592-598

3. Chakrabarti, D. K., & Mittal, P. (2023). Decision Support Systems and Expert Systems: A Comparison. In Plant disease forecasting systems (pp. 89-92). Springer Nature Singapore. https://doi.org/10.1007/978-981-99-1210-0_9

4. Gavali, P., & Saira Banu, J. (2024). Deep Convolutional Neural Network for Automated Bird Species Classification. Traitement du Signal, 41(1), 261-271. https://doi.org/10.18280/ts.410121

5. Kulkarni, A., Tade, A., Sulke, S., Shah, S., & Pande, D. A. (2023). Bird Species Image Identification Using Deep Learning. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4642436

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