Search alternatives:
significantly larger » significantly lower (Expand Search), significantly smaller (Expand Search), significantly higher (Expand Search)
reduced decrease » reduced disease (Expand Search), reported decrease (Expand Search), induces decreased (Expand Search)
larger decrease » marked decrease (Expand Search)
significantly larger » significantly lower (Expand Search), significantly smaller (Expand Search), significantly higher (Expand Search)
reduced decrease » reduced disease (Expand Search), reported decrease (Expand Search), induces decreased (Expand Search)
larger decrease » marked decrease (Expand Search)
-
3341
Result of comparison of different lightweight.
Published 2025“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. 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. …”
-
3342
DyHead Structure.
Published 2025“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. 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. …”
-
3343
The parameters of the training phase.
Published 2025“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. 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. …”
-
3344
Structure of GSConv network.
Published 2025“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. 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. …”
-
3345
Comparison experiment of accuracy improvement.
Published 2025“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. 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. …”
-
3346
Improved model distillation structure.
Published 2025“…Firstly, improve the multi-scale feature layer and reduce the complexity of the model. 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. …”
-
3347
Sample characteristics using MICS 2012 and 2019.
Published 2025“…<div><p>Although the prevalence of childhood stunting has reduced in Bangladesh over time, it is still considered a major public health issue. …”
-
3348
Trends of HIV/AIDS in Ethiopia (1990-2021).
Published 2025“…</p><p>Conclusion</p><p>Ethiopia accounts for 1.8% of the global HIV/AIDS prevalence. While significant progress has been made in recent years, sustained efforts are necessary to further reduce the burden of the disease. …”
-
3349
-
3350
The timeline of the experiment.
Published 2024“…EEG power in the HINS group decreased significantly compared to other experimental groups (p<0.05). …”
-
3351
S1 Raw data -
Published 2024“…EEG power in the HINS group decreased significantly compared to other experimental groups (p<0.05). …”
-
3352
S1 Graphical abstract -
Published 2024“…EEG power in the HINS group decreased significantly compared to other experimental groups (p<0.05). …”
-
3353
Navigation error analysis.
Published 2025“…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. …”
-
3354
-
3355
Summary of related works.
Published 2025“…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. …”
-
3356
Research methodology flow diagram.
Published 2025“…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. …”
-
3357
Positioning error analysis.
Published 2025“…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. …”
-
3358
Error-Bar graph.
Published 2025“…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. …”
-
3359
Effect of CO<sub>2</sub> injection on asphaltene deposition.
Published 2025“…The interfacial tension (IFT) between crude oil and CO<sub>2</sub> decreases from 15.68 to 12.53 mN/m at 10 MPa with increasing clay content, while crude oil viscosity reduces by up to 43.58% when CO<sub>2</sub> injection exceeds 30 mol%. …”
-
3360
Effect of clay content on IFT.
Published 2025“…The interfacial tension (IFT) between crude oil and CO<sub>2</sub> decreases from 15.68 to 12.53 mN/m at 10 MPa with increasing clay content, while crude oil viscosity reduces by up to 43.58% when CO<sub>2</sub> injection exceeds 30 mol%. …”