Example of preprocessed image. by Jiexiang Yang (19980594)

“…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”

Thermodynamic chart. by Jiexiang Yang (19980594)

“…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”

Principle of ghost convolution. by Jiexiang Yang (19980594)

“…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”

mAP comparison. by Jiexiang Yang (19980594)

“…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”

Actual inspection image. by Jiexiang Yang (19980594)

“…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”

Comparative experiments. by Jiexiang Yang (19980594)

“…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”

C2f Module. by Jiexiang Yang (19980594)

“…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”

Model generalization experiment. by Jiexiang Yang (19980594)

“…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”

Variable convolution Kernel structure diagram. by Jiexiang Yang (19980594)

“…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5–0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”

Effect of <i>slc43a3</i> deletion on metabolic performance parameters in male and female WT and KO mice. by Aaron L. Sayler (19797446)

Effect of <i>slc43a3</i> deletion on food and water consumption in male and female WT and KO mice. by Aaron L. Sayler (19797446)

Effect of <i>slc43a3</i> deletion on physical activity of male and female WT and KO mice. by Aaron L. Sayler (19797446)

Decoding the Structure–Property–Function Relationships in Covalent Organic Frameworks for Sustainable Battery Design by Tarek M. Madkour (4921354)

“…Pore decoration of the frameworks with glycol side chains dramatically reduced ion mobility due to increased electrostatic interactions. …”

Experimental environment and parameters. by Haisong Xu (141729)

“…<div><p>In the context of industrial automation, the accurate detection of small defects on bearing surfaces (dents, bruise, scratch) is crucial for the safe operation of equipment. …”

Results of ablation experiments. by Haisong Xu (141729)

“…<div><p>In the context of industrial automation, the accurate detection of small defects on bearing surfaces (dents, bruise, scratch) is crucial for the safe operation of equipment. …”

ECA structural model diagram. by Haisong Xu (141729)

“…<div><p>In the context of industrial automation, the accurate detection of small defects on bearing surfaces (dents, bruise, scratch) is crucial for the safe operation of equipment. …”

YOLOv5s general structure diagram. by Haisong Xu (141729)

“…<div><p>In the context of industrial automation, the accurate detection of small defects on bearing surfaces (dents, bruise, scratch) is crucial for the safe operation of equipment. …”

Heat maps for different models. by Haisong Xu (141729)

“…<div><p>In the context of industrial automation, the accurate detection of small defects on bearing surfaces (dents, bruise, scratch) is crucial for the safe operation of equipment. …”

Defect category statistics. by Haisong Xu (141729)

“…<div><p>In the context of industrial automation, the accurate detection of small defects on bearing surfaces (dents, bruise, scratch) is crucial for the safe operation of equipment. …”

CARAFE general structure. by Haisong Xu (141729)

“…<div><p>In the context of industrial automation, the accurate detection of small defects on bearing surfaces (dents, bruise, scratch) is crucial for the safe operation of equipment. …”