SYNTHETIC VOLTAGE DATASETS FOR ARTIFICIAL INTELLIGENCE-BASED LI-ION DIAGNOSIS AND PROGNOSIS: INVESTIGATION OF THREE DIFFERENT BLENDING CONDITIONS

Beck, David

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University of Hawaii

SYNTHETIC VOLTAGE DATASETS FOR ARTIFICIAL INTELLIGENCE-BASED LI-ION DIAGNOSIS AND PROGNOSIS: INVESTIGATION OF THREE DIFFERENT BLENDING CONDITIONS

dc:creator Beck, David

dc:date.issued2024

Abstract

Ph.D.

Degree

thesis:*

Department dc:contributor.department: Mechanical Engineering
Year dc:date.issued: 2024

Author and committee

dc:creator, dc:contributor.*

Author dc:creator: Beck, David
Advisor dc:contributor.advisor: Dubarry, Matthieu MD

Subjects

dc:subject × 9

Identifiers

dc:identifier.*

Handle dc:identifier.uri: https://hdl.handle.net/10125/108365
OAI record oai:identifier: https://scholarspace.manoa.hawaii.edu/dspace-oai/request?verb=GetRecord&metadataPrefix=dim&identifier=oai%3Ascholarspace.manoa.hawaii.edu%3A10125%2F108365

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Harvested from: University of Hawaii
Base URL: scholarspace.manoa.hawaii.edu/dspace-oai/request
Last updated: 2026-08-21
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citation

Beck, David. SYNTHETIC VOLTAGE DATASETS FOR ARTIFICIAL INTELLIGENCE-BASED LI-ION DIAGNOSIS AND PROGNOSIS: INVESTIGATION OF THREE DIFFERENT BLENDING CONDITIONS. 2024. https://hdl.handle.net/10125/108365

SYNTHETIC VOLTAGE DATASETS FOR ARTIFICIAL INTELLIGENCE-BASED LI-ION DIAGNOSIS AND PROGNOSIS: INVESTIGATION OF THREE DIFFERENT BLENDING CONDITIONS

Abstract

Degree

Author and committee

Subjects

Identifiers

Chain of custody

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