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learner algorithm » learning algorithm (Expand Search), learning algorithms (Expand Search), search algorithm (Expand Search)
multiple surface » multiple sources (Expand Search)
layer algorithm » based algorithm (Expand Search), lasso algorithm (Expand Search), lr algorithm (Expand Search)
learner algorithm » learning algorithm (Expand Search), learning algorithms (Expand Search), search algorithm (Expand Search)
multiple surface » multiple sources (Expand Search)
layer algorithm » based algorithm (Expand Search), lasso algorithm (Expand Search), lr algorithm (Expand Search)
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1
The Effect of Machine Learning Algorithms on the Prediction of Layer-by-Layer Coating Properties
Published 2023“…Layer-by-layer film (LbL) coatings made of polyelectrolytes are a powerful tool for surface modification, including the applications in the biomedical field, for food packaging, and in many electrochemical systems. …”
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2
Surface roughness parameters measurement.
Published 2025“…The results indicate that, for densely vegetated surfaces, VWC can be better reflected by multiple vegetation indices including NDVI, NDWI2, NDGI and FVI, the R<sup>2</sup> and RMSE of VWC estimation result is 0.709 and 0.30 kg·m<sup>-2</sup>. …”
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4
Confusion matrix.
Published 2024“…However, the current algorithms are inadequate in accomplishing these objectives due to their high density, varying sizes and shapes, and limited location information regarding disease spots on jujubes. …”
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5
Hardware configuration and operating environment.
Published 2024“…However, the current algorithms are inadequate in accomplishing these objectives due to their high density, varying sizes and shapes, and limited location information regarding disease spots on jujubes. …”
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6
Image acquisition equipment.
Published 2024“…However, the current algorithms are inadequate in accomplishing these objectives due to their high density, varying sizes and shapes, and limited location information regarding disease spots on jujubes. …”
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7
Ablation experiment training process.
Published 2024“…However, the current algorithms are inadequate in accomplishing these objectives due to their high density, varying sizes and shapes, and limited location information regarding disease spots on jujubes. …”
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8
Jujube black spot dataset.
Published 2024“…However, the current algorithms are inadequate in accomplishing these objectives due to their high density, varying sizes and shapes, and limited location information regarding disease spots on jujubes. …”
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9
BFP feature enhancement chart.
Published 2024“…However, the current algorithms are inadequate in accomplishing these objectives due to their high density, varying sizes and shapes, and limited location information regarding disease spots on jujubes. …”
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10
Improved network ablation experiments.
Published 2024“…However, the current algorithms are inadequate in accomplishing these objectives due to their high density, varying sizes and shapes, and limited location information regarding disease spots on jujubes. …”
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11
Label width and height distribution.
Published 2024“…However, the current algorithms are inadequate in accomplishing these objectives due to their high density, varying sizes and shapes, and limited location information regarding disease spots on jujubes. …”
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12
PAFPN multiscale feature fusion.
Published 2024“…However, the current algorithms are inadequate in accomplishing these objectives due to their high density, varying sizes and shapes, and limited location information regarding disease spots on jujubes. …”
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13
The structure of JujubeSSD.
Published 2024“…However, the current algorithms are inadequate in accomplishing these objectives due to their high density, varying sizes and shapes, and limited location information regarding disease spots on jujubes. …”
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15
Machine Learning-Assisted Multifunctional Environmental Sensing Based on a Piezoelectric Cantilever
Published 2022“…A MoS<sub>2</sub> film was deposited on the surface of a piezoelectric microcantilever (300 × 1000 μm<sup>2</sup>) and used as both a sensing layer and top electrode to make full use of the changes in multiple properties of MoS<sub>2</sub> after its exposure to various environments. …”
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16
Machine Learning-Assisted Multifunctional Environmental Sensing Based on a Piezoelectric Cantilever
Published 2022“…A MoS<sub>2</sub> film was deposited on the surface of a piezoelectric microcantilever (300 × 1000 μm<sup>2</sup>) and used as both a sensing layer and top electrode to make full use of the changes in multiple properties of MoS<sub>2</sub> after its exposure to various environments. …”
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17
Machine Learning-Assisted Multifunctional Environmental Sensing Based on a Piezoelectric Cantilever
Published 2022“…A MoS<sub>2</sub> film was deposited on the surface of a piezoelectric microcantilever (300 × 1000 μm<sup>2</sup>) and used as both a sensing layer and top electrode to make full use of the changes in multiple properties of MoS<sub>2</sub> after its exposure to various environments. …”
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18
Machine Learning-Assisted Multifunctional Environmental Sensing Based on a Piezoelectric Cantilever
Published 2022“…A MoS<sub>2</sub> film was deposited on the surface of a piezoelectric microcantilever (300 × 1000 μm<sup>2</sup>) and used as both a sensing layer and top electrode to make full use of the changes in multiple properties of MoS<sub>2</sub> after its exposure to various environments. …”
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19
Presentation: Estimative of gravity-gradient tensor components via fast iterative equivalent-layer technique
Published 2019“…<p>We present an iterative cost-effective approach for computing the gravity-gradient tensor components from the gravity data (<b>g</b><sub>z</sub>-component) using a fast equivalent-layer technique. Instead of solving linear systems and matrix multiplications, the method estimates the mass distribution on the equivalent layer through an iterative inversion algorithm. …”
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20
The technology roadmap.
Published 2025“…The results indicate that, for densely vegetated surfaces, VWC can be better reflected by multiple vegetation indices including NDVI, NDWI2, NDGI and FVI, the R<sup>2</sup> and RMSE of VWC estimation result is 0.709 and 0.30 kg·m<sup>-2</sup>. …”