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Optimized Multiclass Fault Detection in Solar Photovoltaic Modules Using TinySqueezeNet With Minimal Computational Overhead

dc.contributor.authorBhetalam, Avinash
dc.contributor.authorNaik, Kanasottu Anil
dc.date.accessioned2026-02-17T21:48:43Z
dc.date.available2026-02-17T21:48:43Z
dc.date.copyright5/19/2025 12:00:00 AM
dc.date.issued2025
dc.identifier.issn2997-0253
dc.identifier.otherjerta-25-1054.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4310672
dc.publisherThe American Society of Mechanical Engineers (ASME)
dc.titleOptimized Multiclass Fault Detection in Solar Photovoltaic Modules Using TinySqueezeNet With Minimal Computational Overhead
dc.typeJournal Paper
dc.journal.volume1
dc.journal.issue5
dc.journal.titleJournal of Energy Resources Technology, Part A: Sustainable and Renewable Energy
dc.identifier.doi10.1115/1.4068503
dc.journal.fristpage51702-1
dc.journal.lastpage51702-14
dc.page14
dc.treeJournal of Energy Resources Technology, Part A: Sustainable and Renewable Energy:;2025:;volume( 001 ):;issue: 005
dc.contenttypeFulltext


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