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

“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”

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

“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”

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

“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”

GSConv working principle. by Pingping Yan (462509)

“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”

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

“…<div><p>In the domain of remote sensing image small target detection, challenges such as difficulties in extracting features of small targets, complex backgrounds that easily lead to confusion with targets, and high computational complexity with significant resource consumption are prevalent. …”

Experiment 3 –trial E. by Ottavia Benedicenti (9100619)

Experiment 2, trial D. by Ottavia Benedicenti (9100619)

Key safety measures including adverse events. by Anuja Dokras (8679261)

“…Waist circumference (mean change (MC) −2.23 cm; 95% CI [−3.98, −0.49]; <i>p</i> = 0.01), BMI (MC −0.49 kg/m²; 95% CI [−0.88, −0.10[; <i>p</i> = 0.01), and android fat mass measured by DXA (MC −167 g; 95% CI [−264, −71[; <i>p</i> < 0.001) decreased in the COCP group over the study period whilst there was no statistically significant changes in these parameters in the metformin only group when compared to baseline.. …”

Data. by Hamid Reza Eisvand (19872297)

“…<div><p>Water scarcity is a global challenge with profound implications, particularly for agriculture, where it undermines crop production by diminishing yields and heightening vulnerability to environmental stresses. …”

[A] Histopathological images of pancreas, liver, kidney, and heart tissues from the studied rat groups, stained with H&E. by Mohamed Lotfy (18599184)

Minimal test data set by Wenshun Sheng (21485393)

“…The complexity of the real-world context poses a great challenge to multi-target tracking systems. Changes due to weather or lighting conditions, as well as the presence of numerous visually similar objects, can lead to target ID switching and tracking loss, thus affecting the system’s reliability. …”

OSNet network structure. by Wenshun Sheng (21485393)

“…The complexity of the real-world context poses a great challenge to multi-target tracking systems. Changes due to weather or lighting conditions, as well as the presence of numerous visually similar objects, can lead to target ID switching and tracking loss, thus affecting the system’s reliability. …”

YOLOv8 overall framework. by Wenshun Sheng (21485393)

“…The complexity of the real-world context poses a great challenge to multi-target tracking systems. Changes due to weather or lighting conditions, as well as the presence of numerous visually similar objects, can lead to target ID switching and tracking loss, thus affecting the system’s reliability. …”

The performance of YOFGD model on MOT16. by Wenshun Sheng (21485393)

“…The complexity of the real-world context poses a great challenge to multi-target tracking systems. Changes due to weather or lighting conditions, as well as the presence of numerous visually similar objects, can lead to target ID switching and tracking loss, thus affecting the system’s reliability. …”

Network structure of OSA. by Wenshun Sheng (21485393)

“…The complexity of the real-world context poses a great challenge to multi-target tracking systems. Changes due to weather or lighting conditions, as well as the presence of numerous visually similar objects, can lead to target ID switching and tracking loss, thus affecting the system’s reliability. …”

The performance of S-YOFEO model on MOT17. by Wenshun Sheng (21485393)

“…The complexity of the real-world context poses a great challenge to multi-target tracking systems. Changes due to weather or lighting conditions, as well as the presence of numerous visually similar objects, can lead to target ID switching and tracking loss, thus affecting the system’s reliability. …”

Five multi-target tracking evaluation indexes. by Wenshun Sheng (21485393)

“…The complexity of the real-world context poses a great challenge to multi-target tracking systems. Changes due to weather or lighting conditions, as well as the presence of numerous visually similar objects, can lead to target ID switching and tracking loss, thus affecting the system’s reliability. …”

Algorithm flowchart of OFEO. by Wenshun Sheng (21485393)

“…The complexity of the real-world context poses a great challenge to multi-target tracking systems. Changes due to weather or lighting conditions, as well as the presence of numerous visually similar objects, can lead to target ID switching and tracking loss, thus affecting the system’s reliability. …”

Partial tracking results of MOT17 dataset. by Wenshun Sheng (21485393)

“…The complexity of the real-world context poses a great challenge to multi-target tracking systems. Changes due to weather or lighting conditions, as well as the presence of numerous visually similar objects, can lead to target ID switching and tracking loss, thus affecting the system’s reliability. …”

Improved detection layer. by Wenshun Sheng (21485393)

“…The complexity of the real-world context poses a great challenge to multi-target tracking systems. Changes due to weather or lighting conditions, as well as the presence of numerous visually similar objects, can lead to target ID switching and tracking loss, thus affecting the system’s reliability. …”