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A highly effective data modeling approach for transformers based on1D CNN methods for improving SOC estimation accuracy

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dc.contributor.author전준현-
dc.date.accessioned2025-01-18T00:01:24Z-
dc.date.available2025-01-18T00:01:24Z-
dc.date.issued2024-06-24-
dc.identifier.urihttps://scholarworks.dongguk.edu/handle/sw.dongguk/57100-
dc.titleA highly effective data modeling approach for transformers based on1D CNN methods for improving SOC estimation accuracy-
dc.typeConference-
dc.citation.startPage4-
dc.citation.endPage4-
dc.citation.conferenceNameInternational Conference : Materials in an explosively growing informatics world (CIMTEC2024)-
dc.citation.conferencePlace이탈리아-
dc.citation.conferencePlaceHotel Tuscany InnVia Cividale-
dc.citation.conferenceDate2024-06-20 ~ 2024-06-24-
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College of Engineering (Department of Electronics and Electrical Engineering)
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