The Gemma 4 model family can handle complex logic and agentic workflows, with the largest models, such as the 31B model, ...

Abstract: The emergence of new modulation types in 6G challenges the adaptability of deep learning-based automatic modulation recognition (DL-AMR) models. This letter presents multi-state neuron class ...

Abstract: Accurately identifying and classifying elephant flows is crucial in many network traffic management applications. However, the inherent class imbalance between elephant and mouse flows ...