Determining the optimal locations for placing extra observational measurements has
practical significance. However, the exact underlying flow field is never known in practice …

Reconstructing high-resolution flow fields from sparse measurements is a major challenge
in fluid dynamics. Existing methods often vectorize the flow by stacking different spatial …

Flow sensing is widely used to forecast flow field in fluid-structure interaction (FSI) systems.
The FSI system with multiple flexible structures usually involves complex unsteady flow and …

The artificial lateral line (ALL), comprising distributed flow sensors, has been successful in
sensing motion states of bioinspired underwater robots like robotic fish. However, its …

This paper adopts a 5G smart sensor network to design intelligent sensing of environmental
information in aquaculture waters, and in this way, we study the significance of optimizing …

Inspired by the hydrodynamic perception abilities based on lateral lines on fish surfaces, the
artificial lateral lines (ALLs) based on pressure and flow sensors were proposed by the …

In recent times, the research community has demonstrated significant interest in Underwater
Wireless Sensor Networks (UWSNs), where extensive sensor deployments in oceans and …

Flow perception, as unique for the underwater creature, is also the key component for
underwater robots. However, due to strict limitations on power consumption, flow resistance …

Deploying Lagrangian drifters that facilitate the state estimation of the underlying flow field
within a future time interval is practically important. However, the uncertainty in estimating …

This paper presents a novel bioinspired underwater target detection method with distributed
mobile sensors. Inspired by the fish's lateral line system, distributed mobile sensors are …