Research methodology flow diagram. by Haichao Li (225035)

“…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. These improvements enhance the stability, precision, and safety of AGVs in dynamic manufacturing environments. …”

Positioning error analysis. by Haichao Li (225035)

“…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. These improvements enhance the stability, precision, and safety of AGVs in dynamic manufacturing environments. …”

Error-Bar graph. by Haichao Li (225035)

“…Results show that SIDFM reduces navigation errors by 12.09% at low acceleration and 11.43% at high acceleration while also significantly decreasing positioning errors. These improvements enhance the stability, precision, and safety of AGVs in dynamic manufacturing environments. …”

Formulation details for hybrid GNP–Ag nanofluids. by Athirah Najwa Zaaba (22559957)

“…Higher nanoparticle loadings improved conductivity further but caused significant viscosity increases and reduced stability. …”

Raman spectra (a) GNPs, and (b) Ag nanoparticles. by Athirah Najwa Zaaba (22559957)

“…Higher nanoparticle loadings improved conductivity further but caused significant viscosity increases and reduced stability. …”

Quantitative results on WEDU dataset. by Dunlu Lu (19964225)

“…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …”

Counting results on DRPD dataset. by Dunlu Lu (19964225)

“…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …”

Quantitative results on RFRB dataset. by Dunlu Lu (19964225)

“…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …”

Main module structure. by Dunlu Lu (19964225)

“…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …”

Counting results on MTDC-UAV dataset. by Dunlu Lu (19964225)

“…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …”

Quantitative results on DRPD dataset. by Dunlu Lu (19964225)

“…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …”

Architecture of MAR-YOLOv9. by Dunlu Lu (19964225)

“…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …”

Quantitative results on MTDC-UAV dataset. by Dunlu Lu (19964225)

“…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …”

Counting results on WEDU dataset. by Dunlu Lu (19964225)

“…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …”

Example images from four plant datasets. by Dunlu Lu (19964225)

“…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …”

Counting results on RFRB dataset. by Dunlu Lu (19964225)

“…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …”

Detection visualization results on WEDU dataset. by Dunlu Lu (19964225)

“…Additionally, MAR-YOLOv9 demonstrated significant advantages in detecting complex agricultural images, providing an efficient, lightweight, and adaptable solution for object detection tasks in the agricultural field. …”

Data. by Hamid Reza Eisvand (19872297)

“…Bacillin 20 application had mixed effects, with no significant impact on plant height but increasing leaf area, enhancing shoot dry weight under moderate drought, and improving photosynthetic rate. …”

Influence of DCR on the distinction between instances in YouTube-VIS 2019 dataset. by Farnoosh Arefi (19812520)

Time-limited downregulation of cerebellar neurophysiological processes in NHPs during LACV infection. by Olga A. Maximova (3115716)