Tag: deep learning

Researchers have developed RViTCANet, a multimodal deep learning framework that recognizes drones from millimeter wave radar cross section data with ...

Researchers have developed CNN-SA-RFR, a cosine similarity-based self-attention framework that suppresses redundant filters during CNN training, boosting plant disease classification ...

Researchers combined machine learning and deep learning with multiple molecular fingerprints to build predictive models that identified two promising topoisomerase ...

Researchers have demonstrated a deep learning side-channel attack that recovers secret key-dependent bits from the latest BIKE post-quantum reference implementation ...

Researchers have developed a time-frequency gated transformer that reconstructs the full dynamic response of structures from sparse vibration sensor data, ...

Researchers at the University of Naples Federico II have developed a hierarchical graph neural network framework that represents breast tissue ...

A new multi-task AI framework fuses raw waveforms, spectral features, and statistics through bidirectional cross-modal attention to detect heart murmurs, ...

Researchers have launched AASIA, the first structure-informed protein interaction database covering chickens, ducks, pigs, cattle, and sheep with over 410,000 ...

A systematic review in Artificial Intelligence Review maps six methodological families of time series one-class classification and charts the challenges ...

Researchers have developed a federated, lightweight deep learning system that detects attacks on car CAN bus networks with high accuracy ...