Density functional theory is a widely used computer-based quantum mechanical method for calculating properties of atoms, ...

We propose a new framework for multi-source signal fusion and emotion recognition to address key challenges in feature alignment and representation learning ... we design a novel Contrastive Pairs ...

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 ...

ABSTRACT: The rapid growth of unlabeled time-series data in domains such as wireless communications, radar, biomedical engineering, and the Internet of Things (IoT) has driven advancements in ...

By learning from normal operating data ... To enhance the timeliness of warnings, it is recommended to use a deep autoencoder as a feature extraction model, utilizing the features from its bottleneck ...