“Underwater Acoustic Networks for Security Risk Assessment in Public Drinking Water Reservoirs”

Our team here in Gummersbach has recently released an early version of our work on detecting security risks in public drinking water reservoirs. This work is based on different sensors which are suitable to detect objects and sounds under water, and uses neural networks to detect anormal events as well as specific events. Feel free to have a look at this paper, which is available on arXiv (external link):