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A machine learning-based design automation framework for differential mmWave LNAs.

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Title: A machine learning-based design automation framework for differential mmWave LNAs.
Authors: Michailidis, Anastasios1, anamicha@physics.auth.gr, Sad, Christos, Noulis, Thomas, Siozios, Kostas
Source: Integration: The VLSI Journal; Sep2025, Vol. 104, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 186993120
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=186993120
RecordInfo BibRecord:
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        Value: 10.1016/j.vlsi.2025.102435
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      – Code: eng
        Text: English
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      – TitleFull: A machine learning-based design automation framework for differential mmWave LNAs.
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            NameFull: Michailidis, Anastasios
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            NameFull: Sad, Christos
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              Text: Sep2025
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              Value: 104
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