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Combined Machine Learning Techniques For Characteristics Classification and Threshold Voltage Extraction of Transistors

 
dc.contributor.authorKocak, Husnu Murat
dc.contributor.authorMitard, Jerome
dc.contributor.authorNaskali, Ahmet Teoman
dc.contributor.imecauthorMitard, Jerome
dc.contributor.orcidimecMitard, Jerome::0000-0002-7422-079X
dc.date.accessioned2023-04-26T09:30:11Z
dc.date.available2022-12-01T03:12:29Z
dc.date.available2023-04-26T09:30:11Z
dc.date.issued2022
dc.identifier.doi10.1109/ICMTS50340.2022.9898251
dc.identifier.eisbn978-1-6654-8566-1
dc.identifier.issn1071-9032
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40811
dc.publisherIEEE
dc.source.beginpage21
dc.source.conference34th IEEE International Conference on Microelectronic Test Structures (ICMTS)
dc.source.conferencedateMAR 21-APR 15, 2022
dc.source.conferencelocationCleveland
dc.source.endpage29
dc.source.journalna
dc.source.numberofpages9
dc.subject.keywordsDEFECT PATTERNS
dc.title

Combined Machine Learning Techniques For Characteristics Classification and Threshold Voltage Extraction of Transistors

dc.typeProceedings paper
dspace.entity.typePublication
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