Comparison of different pruning rates. by Zhongjian Xie (4633099)

“…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. …”

Comparison of experimental results at ablation. by Zhongjian Xie (4633099)

“…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. …”

Result of comparison of different lightweight. by Zhongjian Xie (4633099)

“…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. …”

DyHead Structure. by Zhongjian Xie (4633099)

“…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. …”

The parameters of the training phase. by Zhongjian Xie (4633099)

“…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. …”

Structure of GSConv network. by Zhongjian Xie (4633099)

“…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. …”

Comparison experiment of accuracy improvement. by Zhongjian Xie (4633099)

“…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. …”

Improved model distillation structure. by Zhongjian Xie (4633099)

“…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. …”

Alkenyl/Thiol Co-Functionalized Titanium-Oxo Nanoclusters Enable Synergistic Lithography for Enhanced Resolution and Sensitivity by Zuohu Zhou (14258773)

“…Such dual cross-linkable group functionalization brought additional thiol–ene click reactions upon exposure to enhance intercluster polymerization, which significantly improved the lithography sensitivity of TOCs, with the required exposure energy being reduced by over 70% (decreasing from >1000 μC/cm² of alkenyl-TOC to <300 μC/cm² of alkenyl/thiol-TOC). …”

Alkenyl/Thiol Co-Functionalized Titanium-Oxo Nanoclusters Enable Synergistic Lithography for Enhanced Resolution and Sensitivity by Zuohu Zhou (14258773)

“…Such dual cross-linkable group functionalization brought additional thiol–ene click reactions upon exposure to enhance intercluster polymerization, which significantly improved the lithography sensitivity of TOCs, with the required exposure energy being reduced by over 70% (decreasing from >1000 μC/cm² of alkenyl-TOC to <300 μC/cm² of alkenyl/thiol-TOC). …”

Alkenyl/Thiol Co-Functionalized Titanium-Oxo Nanoclusters Enable Synergistic Lithography for Enhanced Resolution and Sensitivity by Zuohu Zhou (14258773)

“…Such dual cross-linkable group functionalization brought additional thiol–ene click reactions upon exposure to enhance intercluster polymerization, which significantly improved the lithography sensitivity of TOCs, with the required exposure energy being reduced by over 70% (decreasing from >1000 μC/cm² of alkenyl-TOC to <300 μC/cm² of alkenyl/thiol-TOC). …”

Changes in functional connectivity between NREM and REM – comparison of in vivo experimental and in silico modeling data. by Michael Satchell (21560808)

“…However, animals that underwent CFC exhibited a significant increase in the number of cell pairs that strengthen functional connectivity (during REM), as compared to baseline (K-S test comparing baseline and CFC <i>p</i> = 6.0102e-126). …”

Motor function impairment in the three stroke models. by Oliver Schmitt (159300)

“…The paw intensity, max areas and stride length were reduced at all paws after sMCAO stroke. Different from the sMCAO, the dMCAO and ICH had no significant change in the temporal parameter of stride length, The paw intensity and max area of affected limbs of ICH rats had a similar significant decrease with sMCAO. …”

Comparison curves of snow. by Hanqing Guo (12451176)

“…The compaction rate initially increases and then decreases with different snow thicknesses; beyond the tread depth, the load significantly affects the maximum compaction rate, which reaches 504 mm/s. …”

Comparison of simulation results. by Hanqing Guo (12451176)

“…The compaction rate initially increases and then decreases with different snow thicknesses; beyond the tread depth, the load significantly affects the maximum compaction rate, which reaches 504 mm/s. …”

Displacement vector diagram of snow. by Hanqing Guo (12451176)

“…The compaction rate initially increases and then decreases with different snow thicknesses; beyond the tread depth, the load significantly affects the maximum compaction rate, which reaches 504 mm/s. …”

Description of the selected nodes. by Hanqing Guo (12451176)

“…The compaction rate initially increases and then decreases with different snow thicknesses; beyond the tread depth, the load significantly affects the maximum compaction rate, which reaches 504 mm/s. …”

MDPC material parameters for snow. by Hanqing Guo (12451176)

“…The compaction rate initially increases and then decreases with different snow thicknesses; beyond the tread depth, the load significantly affects the maximum compaction rate, which reaches 504 mm/s. …”

Description of the selected nodes. by Hanqing Guo (12451176)

“…The compaction rate initially increases and then decreases with different snow thicknesses; beyond the tread depth, the load significantly affects the maximum compaction rate, which reaches 504 mm/s. …”

Finite Element Model of Tire and Snow Runway. by Hanqing Guo (12451176)

“…The compaction rate initially increases and then decreases with different snow thicknesses; beyond the tread depth, the load significantly affects the maximum compaction rate, which reaches 504 mm/s. …”