Pesticide detection combining the Wasserstein generative adversarial network and the residual neural network based on terahertz spectroscopy

We proposed a WGAN-ResNet method, which combines two deep learning networks, the Wasserstein generative adversarial network (WGAN) and residual neural network (ResNet), to detect carbendazim based on terahertz spectroscopy.

Towards in-situ quality control of conductive printable electronics: a review of possible pathways

Over the past decade, printed electronics (PE) has shown great potential for a wide range of industries, from consumer goods, electronics, aerospace, automotive, pharmaceutical, biomedical, to textiles and fashion. The rapid development of printing technology has been strongly driven by the growth of the PE market and its many applications. Here, we review the latest trends in PE production quality control, focusing on emerging technologies such as terahertz spectroscopy, which may play a key role in the development of smart manufacturing of PE devices in the near future. We also provide a comparison with conventional quality control technologies or off-line measurements, such as four-point probe measurements, atomic force microscopy, optical microscopy, etc.