1726 Rahul Kumar et al 1726-1745 Hybrid Deep Learning Technique for Automated Disease Diagnosis Using Crow Search Optimizatio

Authors

  • Rahul Kumar, Rajeev Paulus

Keywords:

Hybrid deep learning, Crow Search Optimization (CSO), Oppositional Learning (OL), automated disease diagnosis, precision agriculture, metaheuristic algorithms, Modified ResNet-39, bio-inspired computing.

Abstract

Intelligent, automated systems able to execute diseases diagnosis at very high level
are increasingly called for in precision agriculture. This research suggests a novel hybrid deep
learning system that combines

References

Zhang, C., & Liu, Y. (2021). Wavelet transform in noise reduction and signal

processing: A review. Signal Processing, 183, 107941.

Johnson, I., & Spence, M. (2019). The molecular probes handbook: A guide to

fluorescent probes and labeling technologies (11th ed.). Life Technologies Corporation.

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Published

2024-05-09

How to Cite

Rahul Kumar, Rajeev Paulus. (2024). 1726 Rahul Kumar et al 1726-1745 Hybrid Deep Learning Technique for Automated Disease Diagnosis Using Crow Search Optimizatio. Journal of Computational Analysis and Applications (JoCAAA), 33(08), 1726–1745. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2651

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Section

Articles