RFAConv working principle. حسب Pingping Yan (462509)

"…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …"

PConv working principle. حسب Pingping Yan (462509)

"…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …"

Improvement of SPPF to SPPF-R process. حسب Pingping Yan (462509)

"…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …"

PR comparison on RSOD dataset. حسب Pingping Yan (462509)

"…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …"

Ablation study on the RSOD dataset. حسب Pingping Yan (462509)

"…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …"

Structure and working principle of LI-YOLOv8. حسب Pingping Yan (462509)

"…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …"

C2f-E improvement process. حسب Pingping Yan (462509)

"…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …"

Structure of Detect and GP-Detect. حسب Pingping Yan (462509)

"…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …"

YOLOv8 structure and working principle. حسب Pingping Yan (462509)

"…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …"

Improvement of CBS to CBR process. حسب Pingping Yan (462509)

"…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …"

EMA attention mechanism working principle. حسب Pingping Yan (462509)

"…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …"

Ablation study on the NWPU VHR-10 dataset. حسب Pingping Yan (462509)

"…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …"

GSConv working principle. حسب Pingping Yan (462509)

"…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …"

PR comparison on NWPU VHR-10 dataset. حسب Pingping Yan (462509)

"…Furthermore, Parameters and GFLOPs were reduced by 10.0% and 23.2%, respectively, indicating a significant enhancement in detection accuracy along with a substantial decrease in both parameters and computational costs. …"

Enhancement of mechanical and thermal properties of porous alkaline cements using silica and alumina nanoparticles حسب Nuno Cristelo (20594563)

"…Al nanoparticles did not enhance mechanical performance, but led to density reduction, resulting in decreased strength. …"

Optimized Gas–Liquid Transport via Local Flow Field Management for Efficient Overall Water Splitting حسب Yingjie Ji (4797516)

"…In this work, we introduce a new electrolyzer design that strategically optimizes gas and liquid flow distributions to facilitate rapid bubble removal, thereby enhancing the electrochemical process. By incorporating a hydrophobic and gas-venting layer, our design significantly shortens the bubble transfer path and reduces the level of accumulation. …"

Optimized Gas–Liquid Transport via Local Flow Field Management for Efficient Overall Water Splitting حسب Yingjie Ji (4797516)

"…In this work, we introduce a new electrolyzer design that strategically optimizes gas and liquid flow distributions to facilitate rapid bubble removal, thereby enhancing the electrochemical process. By incorporating a hydrophobic and gas-venting layer, our design significantly shortens the bubble transfer path and reduces the level of accumulation. …"

Optimized Gas–Liquid Transport via Local Flow Field Management for Efficient Overall Water Splitting حسب Yingjie Ji (4797516)

"…In this work, we introduce a new electrolyzer design that strategically optimizes gas and liquid flow distributions to facilitate rapid bubble removal, thereby enhancing the electrochemical process. By incorporating a hydrophobic and gas-venting layer, our design significantly shortens the bubble transfer path and reduces the level of accumulation. …"

The overall framework of CARAFE. حسب Zhongjian Xie (4633099)

"…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. …"

KPD-YOLOv7-GD network structure diagram. حسب Zhongjian Xie (4633099)

"…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. …"