Partitioning of AI Models for Execution on Mixed Criticality Systems. A Workflow Approach Proposal

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Publication Details

Journal
SPIRE - Sciences Po Institutional REpository
Published
2025-09-09
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

Partitioning of AI Models for Execution on Mixed Criticality Systems. A Workflow Approach Proposal

SPIRE - Sciences Po Institutional REpository
Geochemistry and Geologic Mapping
article

Partitioning of AI Models for Execution on Mixed Criticality Systems. A Workflow Approach Proposal

article en

Abstract

No abstract available for this paper.
SPIRE - Sciences Po Institutional REpository
ZHAW Zurich University of Applied Sciences (CH)
Innosuisse - Schweizerische Agentur für Innovationsförderung, Zürcher Hochschule für Angewandte Wissenschaften
Openalex Percentile: Top 49%
Geochemistry and Geologic Mapping
Open Access PDFOpenAlex
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Partitioning of AI Models for Execution on Mixed Criticality Systems. A Workflow Approach Proposal · SPIRE - Sciences Po Institutional REpository (2025) | TGRS Research Map | TGRS