Current continual learning methods can utilize labeled data to alleviate catastrophic forgetting effectively. However, ...

An Ensemble Learning Tool for Land Use Land Cover Classification Using Google Alpha Earth Foundations Satellite Embeddings ...

Texas Southern becomes the first HBCU in Texas to achieve combination of research and community engagement ...

Review re-maps multi-view learning into four supervised scenarios and three granular sub-tiers, delivering the first unified blueprint for researchers to navigate classification, clustering, ...

Abstract: Network traffic classification (NTC) plays an essential role in managing, securing, and optimizing networks. Supervised learning methods face challenges such as label scarcity. Given that ...

Two-tier adaptation: Fast LoRA updates for moderate drift, AutoML reconfiguration for severe drift Continual learning with minimal catastrophic forgetting Multi ...

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

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 ...