Multi-frequency electrical impedance analysis for monitoring aqueous solutions using an accelerated neural network approach

Abstract

At this very moment we find ourselves in the age of sensor technology, every device has an uplink to some kind of cloud-platform which will in return make the devices smart. When talking about smart devices the term Artificial Intelligence comes very quickly to mind. In this proofof-concept study a neural network is made to distinguish the throughput of fluids in real-time Having this amount of information at your disposal, processing it becomes a major challenge. However, when looking into the artificial intelligence research branch, techniques can be derived to process this data resulting into a more compact form factor of the same data with the benefit of using this derived data to classify, or even predict reoccurring patterns