Abstract: Event-driven Underwater Acoustic Sensor Networks (UASNs) face the critical challenge of minimizing event-reporting delay while maintaining energy efficiency in resource-constrained ...

The public release improves audio, speech, debugging, and developer experience. Additionally, a more cost-effective mini variant can be used.

Abstract: With the advent of the 5G and 6G eras and the explosive growth of mobile users, machine learning (ML) is increasingly used for extracting important information from a large amount of ...