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A Comprehensive Analysis of the Surge in Lithium Battery-Related Fires with Leveraging Machine Learning

dc.contributor.authorMendis, BRS
dc.contributor.authorWeerasinghe, UR
dc.contributor.authorLakshan, APK
dc.contributor.authorUdugamasooriya, SD
dc.date.accessioned2025-01-16T17:30:35Z
dc.date.available2025-01-16T17:30:35Z
dc.date.issued2024-09
dc.identifier.urihttp://ir.kdu.ac.lk/handle/345/8106
dc.language.isoenen_US
dc.subjectLithium battery-related firesen_US
dc.subjectElectric Vehicles (EVs)en_US
dc.subjectLithium-ion batteriesen_US
dc.subjectsustainable transportationen_US
dc.subjectrisk assessmenten_US
dc.subjectclustering, classificationen_US
dc.titleA Comprehensive Analysis of the Surge in Lithium Battery-Related Fires with Leveraging Machine Learningen_US
dc.typeArticle Abstracten_US
dc.identifier.facultyFMSHen_US
dc.identifier.journalKDU IRCen_US
dc.identifier.pgnos33en_US


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