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Recently, a research team led by Prof. XIE Pinhua from the Hefei lnstitutes of Physical Science of the Chinese Academy of ...
To address imbalanced data challenges in intrusion detection, we propose SA-LCA, integrating an improved stacked autoencoder with LSTM-CNN-Attention. Preprocessing uses one-hot encoding and ...
Contribute to Krishna4311/Image-Recommendation-Using-CNN-Autoencoder-Embeddings-on-Fashion-MNIST development by creating an account on GitHub.
A proposed hybrid model (post-CNN linear filter) generally improved performance, particularly by mitigating harmonic issues for models like DDCAE. These findings highlight significant performance ...
Optimized CNN and CRNN for Advanced Classification and Regression This repository contains the implementation for my third major project, "Optimized CNN and CRNN for Advanced Classification and ...