Fig 8 - by Junxia Zhou (14381598)

Fig 11 - by Junxia Zhou (14381598)

Fig 10 - by Junxia Zhou (14381598)

Support. by Yulu Dai (21387734)

“…In the lower layer, a lane-level emergency route that combined with signal preemption control would be planned to ensure the efficiency of EVs and reduce the adverse impact of signal preemption on normal traffic. …”

Indices and parameters. by Yulu Dai (21387734)

“…In the lower layer, a lane-level emergency route that combined with signal preemption control would be planned to ensure the efficiency of EVs and reduce the adverse impact of signal preemption on normal traffic. …”

Illustration of model predictive control. by Yulu Dai (21387734)

“…In the lower layer, a lane-level emergency route that combined with signal preemption control would be planned to ensure the efficiency of EVs and reduce the adverse impact of signal preemption on normal traffic. …”

Strategies for signal control. by Yulu Dai (21387734)

“…In the lower layer, a lane-level emergency route that combined with signal preemption control would be planned to ensure the efficiency of EVs and reduce the adverse impact of signal preemption on normal traffic. …”

Adjacency by Yulu Dai (21387734)

“…In the lower layer, a lane-level emergency route that combined with signal preemption control would be planned to ensure the efficiency of EVs and reduce the adverse impact of signal preemption on normal traffic. …”

Parameters and values used in experiments. by Yulu Dai (21387734)

“…In the lower layer, a lane-level emergency route that combined with signal preemption control would be planned to ensure the efficiency of EVs and reduce the adverse impact of signal preemption on normal traffic. …”

Summary of previous work. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

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

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

YOLO11. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

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

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

Comparative experimental results. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

Algorithm operation steps. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

SCI-YOLO11. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

Study area. by Bao Zhou (20670850)

“…Conversely, habitat quality and carbon storage show a decline, with the smallest decrease also under SSP126; (3) Analyzing the SDG index, the overall value is low in 2020. …”

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

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

YOLOV8. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”

Faster-RCNN. by Junyan Wang (4738518)

“…However, small object detection faces numerous challenges, such as significant difficulty, substantial interference from complex backgrounds, and inconsistent annotation quality. …”