Repo Dosen ULM

Peer Review - A new method for optimal parameters identification of a PEMFC using an improved version of Monarch Butterfly Optimization Algorithm

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dc.creator DALLE, JUHRIYANSYAH
dc.date.accessioned 2020-06-17T01:53:22Z
dc.date.available 2020-06-17T01:53:22Z
dc.identifier http://eprints.ulm.ac.id/9262/1/1.c.5-Hydrogen_Journal_Reviewer.pdf
dc.identifier DALLE, JUHRIYANSYAH Peer Review - A new method for optimal parameters identification of a PEMFC using an improved version of Monarch Butterfly Optimization Algorithm. ulm.
dc.identifier.uri https://repo-dosen.ulm.ac.id//handle/123456789/16340
dc.format text
dc.publisher ulm
dc.relation http://eprints.ulm.ac.id/9262/
dc.subject AI Indexes (General)
dc.title Peer Review - A new method for optimal parameters identification of a PEMFC using an improved version of Monarch Butterfly Optimization Algorithm
dc.type Other
dc.type NonPeerReviewed


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