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What is Hybrid CNN-LSTM for Predictive Analytics about?

This paper introduces a hybrid deep learning model combining Convolutional Neural Networks (CNNs) and Long Short-Term Memory (LSTM) networks for predictive analytics in AI systems, demonstrating superior performance over traditional methods. The proposed model achieved a mean accuracy of 93.4% on benchmark datasets, outperforming standalone CNN and LSTM models. Future work may explore the integration of attention mechanisms or transformers to further enhance predictive capabilities.

Author

bhattkrishna0908

Language

EN