Nature

Transfer learning models for wheat ear detection on multi-source dataset

The exponential growth of the human population invokes the necessity for more precise crop monitoring and sets higher crop yields as one of the most demanding challenges. As part of the global plan, ...
Nature

Transfer learning assessment of small datasets relating manufacturing parameters with electrochemical energy cell component properties

The performance of electrochemical cells for energy storage and conversion can be improved by optimizing their manufacturing processes. This can be time-consuming and ...
EurekAlert!

Transfer learning-enhanced physics-informed neural network (TLE-PINN): A breakthrough in melt pool prediction for laser melting

The TLE-PINN method integrates EPINN and deep learning models through a transfer learning framework, combining strong physical constraints and efficient computational capabilities to accurately ...