Actual inspection image. by Jiexiang Yang (19980594)

“…<div><p>Road crack detection is critical to global infrastructure maintenance and public safety, and complex background environments and nonlinear damage crack patterns challenge the need for real-time, efficient, and accurate detection.This paper proposes a lightweight yet robust Flexi-YOLO model based on the YOLOv8 algorithm. We designed Wise-IoU as the model’s loss function to optimize the regression accuracy of its bounding boxes and enhance robustness to low-quality samples. …”

Performance metrics under different noise levels. by Jia Li (160557)

“…This paper introduces a novel classification algorithm, ASGBC, intended to tackle related challenges in diagnosing gallbladder cancer using B-ultrasound images. …”

Comparative experiments. by Jiexiang Yang (19980594)

“…<div><p>Road crack detection is critical to global infrastructure maintenance and public safety, and complex background environments and nonlinear damage crack patterns challenge the need for real-time, efficient, and accurate detection.This paper proposes a lightweight yet robust Flexi-YOLO model based on the YOLOv8 algorithm. We designed Wise-IoU as the model’s loss function to optimize the regression accuracy of its bounding boxes and enhance robustness to low-quality samples. …”

C2f Module. by Jiexiang Yang (19980594)

“…<div><p>Road crack detection is critical to global infrastructure maintenance and public safety, and complex background environments and nonlinear damage crack patterns challenge the need for real-time, efficient, and accurate detection.This paper proposes a lightweight yet robust Flexi-YOLO model based on the YOLOv8 algorithm. We designed Wise-IoU as the model’s loss function to optimize the regression accuracy of its bounding boxes and enhance robustness to low-quality samples. …”

Model generalization experiment. by Jiexiang Yang (19980594)

“…<div><p>Road crack detection is critical to global infrastructure maintenance and public safety, and complex background environments and nonlinear damage crack patterns challenge the need for real-time, efficient, and accurate detection.This paper proposes a lightweight yet robust Flexi-YOLO model based on the YOLOv8 algorithm. We designed Wise-IoU as the model’s loss function to optimize the regression accuracy of its bounding boxes and enhance robustness to low-quality samples. …”

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

“…<div><p>Road crack detection is critical to global infrastructure maintenance and public safety, and complex background environments and nonlinear damage crack patterns challenge the need for real-time, efficient, and accurate detection.This paper proposes a lightweight yet robust Flexi-YOLO model based on the YOLOv8 algorithm. We designed Wise-IoU as the model’s loss function to optimize the regression accuracy of its bounding boxes and enhance robustness to low-quality samples. …”

Results of ablation study. by Jia Li (160557)

“…This paper introduces a novel classification algorithm, ASGBC, intended to tackle related challenges in diagnosing gallbladder cancer using B-ultrasound images. …”

Effect of active learning. by Jia Li (160557)

“…This paper introduces a novel classification algorithm, ASGBC, intended to tackle related challenges in diagnosing gallbladder cancer using B-ultrasound images. …”

Data XGBOOST. by Xin Zhang (35492)

“…<div><p>Introduction</p><p>Physical Activity (PA) is essential for enhancing the physical function of pre-frail and frail older adults. However, among this group, PA-levels vary significantly. …”

Background heterogeneity and sequencing depth improve WheresWalker SNPindex. by McKenna Feltes (11242085)

Violin plot of correlation score by Nicholas A. Rondoni (21573261)

Comparison of Victor-Purpura distance by Nicholas A. Rondoni (21573261)

Comparison of Victor-Purpura distance by Nicholas A. Rondoni (21573261)

Frequency response of a hypothetical indicator. by Nicholas A. Rondoni (21573261)

Mapping and confirmation of the <i>arches</i> locus. by McKenna Feltes (11242085)

WheresWalker outperforms homozygosity density mapping for Maize mutant. by McKenna Feltes (11242085)

Forward genetic screen identifies 28 dark yolk mutants. by McKenna Feltes (11242085)

Summary of WGS datasets. by McKenna Feltes (11242085)

“…<div><p>Forward genetic screening is a powerful approach to assign functions to genes and can be used to elucidate the many genes whose functions remain unknown. …”

Oligo sequences. by McKenna Feltes (11242085)

“…<div><p>Forward genetic screening is a powerful approach to assign functions to genes and can be used to elucidate the many genes whose functions remain unknown. …”

<i>zion</i> WGS summary. by McKenna Feltes (11242085)

“…<div><p>Forward genetic screening is a powerful approach to assign functions to genes and can be used to elucidate the many genes whose functions remain unknown. …”