Get Instant Summarized Text (Gist) A self-attention neural network model enables rapid and accurate prediction of radiation shielding designs for space reactors, achieving less than 3% deviation ...

New research details how infrared thermography, high-definition imaging and neural network analysis can combine to make concrete bridge inspections more efficient. Researchers are hopeful that their ...

Specifically, the physics-informed deep neural network (PIDNN) is trained to optimize the switching-on times of for each antenna element. Simulation results demonstrate that the proposed technique ...

The approach integrates Physics-Informed Neural Networks (PINNs) for friction modeling and Unscented Kalman Filtering (UKF) for joint torque estimation, within a real-time torque control architecture.

The microscope accurately measured the directional heat flow in these materials. In other words, it can detect how heat moves differently in various directions, providing valuable insights for ...

BOSTON, May 15, 2025 /CNW/ -- TraceLink, the largest end-to-end digital network platform for intelligent supply chain orchestration, today announced that CIT Srl, a rapidly growing contract ...

For an example, the study highlighted the developmental trajectory of the visual network ... charts have been widely used to identify children who may deviate from the normal ranges of head ...