Head and neck cancer (HNC) is one of the most common malignancies worldwide, with high morbidity and mortality rates.

Graph out-of-distribution (OOD) generalization remains a major challenge in graph neural networks (GNNs). Invariant learning, aiming to extract invariant features across varied distributions, has ...

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...

Abstract: Network traffic classification (NTC) is vital for efficient network management, security, and performance optimization, particularly with 5G/6G technologies. Traditional methods, such as ...

Abstract: In recent years, contrastive learning (CL) frameworks have been widely applied to multivariate time series classification (MTSC) tasks. However, existing methods lack task-specific guidance, ...

Automatic classification of interior decoration styles has great potential to guide and streamline the design process. Despite recent advancements, it remains challenging to construct an accurate ...

Circuit judges sitting en banc voted 14-1 on Thursday to overturn the ruling, the 1999 decision United States v. Truscello, explaining that it denied defendants the opportunity to be informed and ...