Abstract

Abstract This article proposes the MicroStructural Hierarchy Descriptor (µSHD) as a systematic and quantitative approach to spectra and image data in microelectronics failure analysis. It discusses concrete routes for employing µSHD directly as the quantitative descriptor for supervised and unsupervised machine learning. The authors propose that µSHD tools can be used to automate and improve characterization techniques and image processing and analysis protocols.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.