Search alternatives:
significantly improve » significantly improved (Expand Search)
decrease accuracy » decrease occurs (Expand Search)
improve decrease » improve disease (Expand Search), improved urease (Expand Search), improves disease (Expand Search)
decrease access » increased access (Expand Search), decreased across (Expand Search), decrease occurs (Expand Search)
significantly improve » significantly improved (Expand Search)
decrease accuracy » decrease occurs (Expand Search)
improve decrease » improve disease (Expand Search), improved urease (Expand Search), improves disease (Expand Search)
decrease access » increased access (Expand Search), decreased across (Expand Search), decrease occurs (Expand Search)
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The influence of wealth-signalling determinants on the adoption of improved seeds and fertilizers.
Published 2022Subjects: -
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Trends in full immunization coverage among two-year-olds in Sierra Leone, 2008-2019.
Published 2025Subjects: -
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Inequalities in full immunization coverage among two-year-olds in Sierra Leone, 2008-2019.
Published 2025Subjects: -
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Trends in full immunization coverage among two-year-olds in Sierra Leone, 2008-2019.
Published 2025Subjects: -
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Comparison experiment of accuracy improvement.
Published 2025“…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”
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Comparison experiment of accuracy improvement.
Published 2025“…Secondly, a lightweight convolutional module is introduced to replace the standard convolutions in the Efficient Long-range Aggregation Network (ELAN-A) module, and the channel pruning techniques are applied to further decrease the model’s complexity. Finally, the experiment significantly enhanced the efficiency of feature extraction and the detection accuracy of the model algorithm through the integration of the Dynamic Head (DyHead) module, the Content-Aware Re-Assembly of Features (CARAFE) module, and the incorporation of knowledge distillation techniques. …”
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