Accuracy–Compute Trade-offs in Battery State-of-Health Prognostics: A Sequence-Length Study Toward UAV BMS Design Guidance

dc.contributor.authorKuloğlu, Abdulhaluk
dc.contributor.authorTETİK TUĞBA
dc.contributor.authorKONAR MEHMET
dc.contributor.authorAVŞAR REHA
dc.date.accessioned2026-10-15T04:17:07Z
dc.date.issued2026
dc.descriptionUlusal | Tam metin bildiri | YÖK-Özgeçmiş
dc.identifier.urihttps://hdl.handle.net/20.500.11782/12320
dc.language.isotr
dc.relation.ispartofEGE 15. ULUSLARARASI UYGULAMALI BİLİMLER KONGRESİ
dc.relation.urichrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/https://www.egekongresi.org/_files/ugd/797a84_e86cfa789e3544e5ba2d94dc023b0bab.pdf
dc.titleAccuracy–Compute Trade-offs in Battery State-of-Health Prognostics: A Sequence-Length Study Toward UAV BMS Design Guidance
dc.typeConference Object
dspace.entity.typePublication
hku.portal.eseridt:bildiri:96c18b3a56b07fba
hku.yoksis.yayinid10358609
relation.isAuthorOfPublicationcc1dd175-e3f2-4b26-bb3e-774faddbd14c
relation.isAuthorOfPublication.latestForDiscoverycc1dd175-e3f2-4b26-bb3e-774faddbd14c

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