Search alternatives:
values decrease » values increased (Expand Search), largest decrease (Expand Search)
based decrease » caused decreased (Expand Search), marked decrease (Expand Search), based defense (Expand Search)
cnn decrease » nn decrease (Expand Search), mean decrease (Expand Search), _ decrease (Expand Search)
_ cnn » _ can (Expand Search)
values decrease » values increased (Expand Search), largest decrease (Expand Search)
based decrease » caused decreased (Expand Search), marked decrease (Expand Search), based defense (Expand Search)
cnn decrease » nn decrease (Expand Search), mean decrease (Expand Search), _ decrease (Expand Search)
_ cnn » _ can (Expand Search)
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Performance Results of Different Data Split Ratios Based on Training, Testing, and Validation.
Published 2025Subjects: -
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CNN model.
Published 2025“…According to the experimental results, when the grinding depth increases to 21 μm, the average training loss of the model further decreases to 0.03622, and the surface roughness Ra value significantly decreases to 0.1624 μm. …”
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Table 1_UrbanAgri: a transfer learning-based plant stress identification framework for sustainable smart urban growth.xlsx
Published 2025“…Based on the capabilities of transfer learning, the model makes use of optimal feature extraction with small datasets, resolving the issue of data scarcity in cities. …”
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Comparison of environmental perception time results at different learning rates.
Published 2025Subjects: -
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Data Sheet 2_UrbanAgri: a transfer learning-based plant stress identification framework for sustainable smart urban growth.pdf
Published 2025“…Based on the capabilities of transfer learning, the model makes use of optimal feature extraction with small datasets, resolving the issue of data scarcity in cities. …”
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Data Sheet 1_UrbanAgri: a transfer learning-based plant stress identification framework for sustainable smart urban growth.zip
Published 2025“…Based on the capabilities of transfer learning, the model makes use of optimal feature extraction with small datasets, resolving the issue of data scarcity in cities. …”