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ZENODO
Part of book or chapter of book . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Part of book or chapter of book . 2024
License: CC BY
Data sources: Datacite
ZENODO
Part of book or chapter of book . 2024
License: CC BY
Data sources: Datacite
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WaferVision: Integrated Semiconductor Health Analysis (I.S.H.A)

Authors: Mohd Hariz Iswan Sinuin; Hashim, Nik Mohd Zarifie;

WaferVision: Integrated Semiconductor Health Analysis (I.S.H.A)

Abstract

The WaferVision: Integrated Semiconductor Health Analysis (I.S.H.A) system represents agroundbreaking advancement in semiconductor technology evaluation. Designed to address the critical need forcomprehensive semiconductor health analysis, I.S.H.A offers an integrated solution that revolutionizes the waysemiconductor devices are assessed. By leveraging state-of-the-art vision technology and deep learning, I.S.H.Aprovides a holistic approach to semiconductor or wafer health assessment, encompassing various aspects such asdefect detection, performance analysis, and predictive maintenance. Through real-time monitoring and analysis ofwafer properties, the system enables early detection of potential issues, thereby minimizing downtime and optimizingsemiconductor or wafer manufacturing processes. Furthermore, I.S.H.A incorporates machine learning capabilities,allowing it to adapt and evolve based on historical data and changing semiconductor environments. With itsunparalleled accuracy, efficiency, and versatility, the WaferVision I.S.H.A system promises to redefinesemiconductor health analysis, paving the way for enhanced productivity and reliability in semiconductormanufacturing industries.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green