In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled ...

Discover 7 groundbreaking techniques to detect AI-generated content and learn how to spot the subtle signs of ...

The proposed method uses Autoencoder based Deep Neural Network (AEDNN) trained with NSL-KDD dataset to efficiently detect possible cyber threats. This paper proposed AEDNN to detect automated threats ...

In this paper, we propose a marginalized graph autoencoder with subspace structure preserving ... Experiments on four public datasets show that the algorithm can effectively improve the performance of ...

Using the anomaly detection method proposed in this study ... In this study, a deep convolutional autoencoder-based unsupervised failure mode recognition algorithm is proposed to identify and alert ...