higher efficiency values

Method / resourceobservedoriginal resultpositivemeasured

Claim · model-written summary

Taxon: local fruitt0
Outcome: higher efficiency valuese0
Direction: highere0
Comparator: other competitorse0

Not reportedMaterialGeneCompoundOrgan / stageInteractorInteractor roleSecond interactorSecond interactor roleTreatmentSettingValueQualifier

Verbatim

e0
“deep learning models are designed to produce higher efficiency values than other competitors”
✓ located verbatim in the source · abstract, characters 1234–1326

t0
“local fruit”
✓ located after whitespace/quote normalisation · title, characters 22–33

Title

North Sulawesi Single Local Fruit Detection Using Efficient Attention Module Based on Deep Learning Architecture

Vecky C. Poekoel; Dwisnanto Putro; Jane Litouw; et al. Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) 2023. doi:10.23887/janapati.v12i2.54754

Other claims from this paper (4)

Method / resource accuracy value
Method / resource accuracy value
Method / resource outperforms other light architectures
Method / resource 100,488 Frames per Second

Record rev-75d2ca6d77f634027d946e98e583799bd8765f065af9543dce052df18986c46f · schema claims-v0.9 · position 4 in the model’s answer