Recently, some computer scientists have started exploring the possibility of modeling feature learning in DNNs using frameworks and approaches rooted in physics.

Malware detection in Android applications remains a critical challenge due to the increasing sophistication of cyber threats. This paper explores a novel approach for Android malware classification by ...

Methods: This study proposes a novel approach for ASD detection utilizing deep learning and advanced feature selection techniques. A hybrid model combining Stacked Sparse Denoising Autoencoder (SSDAE) ...

Got $100,000 to invest? Are you itching to grow your wealth fast with a high-yield exchange traded fund (ETF)? Dreams of magical compounding and massive profits from hefty cash distributions are ...

Due to the significant growth of video surveillance installations in recent years, video anomaly detection has attracted considerable interest in the security sector. Detecting anomalies in video is a ...

Our evaluation using a real radiotherapy treatment plan dataset shows that the autoencoder-based detection algorithm can achieve an AUC value of 0.9985, which is a maximum improvement of 41.77%, ...