(a) Coastline length changes in the Caspian Sea; (b) LSI changes between 1985 and 2023 (P1 = 1985–1990, P2 = 1990–1995, P3 = 1995–2000, P4 = 2000–2005, P5 = 2005–2010, P6 = 2010–20... by Zihao Duan (17403792)

Subjects:

Impact test procedure on panel. by Tek Raj Gyawali (20550560)

“…Panels reinforced with thinner PVA fibers exhibited superior performance in resisting compressive and impact loads. This enabled a reduction in fiber content to 1.2% (a 60% decrease) and panel thickness to 22 mm (a 4.35% decrease) compared to panels with thicker fibers. …”

Characterization of the impact of glucose/galactose on infection outcomes. by Tyron Chang (9922533)

Interventions for Psychological Stress in Pregnant African American Women: A Scoping Review by Taleah A. Frazier (22423294)

“…Results for stress reduction were mixed; while two studies reported post-intervention decreases in stress, others found no significant changes, highlighting the preliminary nature of existing evidence. …”

Everolimus decreased CD89 deposits in α1^KICD89^Tg mice. by Alexandra Cambier (22307216)

Summary of previous work. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

Comparison of MAP@0.5 results from experiments. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

YOLO11. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

Structure of the SCI-YOLO11 network. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

Comparative experimental results. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

Algorithm operation steps. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

SCI-YOLO11. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

Dataset for insulator defect detection. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

YOLOV8. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

Faster-RCNN. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

Results of ablation experiments. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

Structure diagram of SPDConv. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

Wise-IOU regression diagram. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

Visualization of detection results. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”

Structure diagram of the SE attention mechanism. by Junyan Wang (4738518)

“…In response to the adverse effects caused by inconsistent annotation quality on defect image detection performance, we incorporate Wise-IoU-V3 loss function to optimize boundary box regression performance effectively mitigating negative impacts stemming from uneven annotation quality. …”