Zobrazeno 1 - 10
of 178
pro vyhledávání: '"deformable attention"'
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Tomatoes, widely cherished for their high nutritional value, necessitate precise ripeness identification and selective harvesting of mature fruits to significantly enhance the efficiency and economic benefits of tomato harvesting management. Previous
Externí odkaz:
https://doaj.org/article/9bc2e7e59b7d4d7ab55a6c069cff22e3
Autor:
Yang, Hua a, ⁎, 1, Sheng, Shenyang a, ⁎, 1, Jiang, Feng b, Zhang, Tiancheng c, Wang, Siyi c, Xiao, Jie a, Zhang, Haifeng a, Peng, Chengwu a, Wang, Qi a
Publikováno v:
In Energy Reports December 2024 12:6102-6111
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 17292-17307 (2024)
Recently, significant advancements have been achieved in optimizing algorithms for synthetic aperture radar (SAR) ship detection. Nevertheless, two challenges still impede further research as follows. 1) Mainstream methods, whether anchor-free or anc
Externí odkaz:
https://doaj.org/article/8534023235194be69a3929c457ffba3d
Publikováno v:
IEEE Access, Vol 12, Pp 44335-44350 (2024)
Network intrusion detection technology has always been an indispensable protection mechanism for industrial network security. The rise of new forms of network attacks has resulted in a heightened demand for these technologies. Nevertheless, the curre
Externí odkaz:
https://doaj.org/article/e901a45c42e44526b8a4b5cc31a67626
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10640 (2024)
It is of great significance to effectively identify the flame-burning state of cement rotary kilns to optimize the calcination process and ensure the quality of cement. However, high-temperature and smoke-filled environments bring about difficulties
Externí odkaz:
https://doaj.org/article/2a2375b47ac04273b111316f3f5a8725
Publikováno v:
Remote Sensing, Vol 16, Iss 22, p 4126 (2024)
Sea surface temperature (SST) prediction has received increasing attention in recent years due to its paramount importance in the various fields of oceanography. Existing studies have shown that neural networks are particularly effective in making ac
Externí odkaz:
https://doaj.org/article/b4636340644a4bc6a6f34fb2be4887e7
Publikováno v:
Sensors, Vol 24, Iss 21, p 6908 (2024)
Defects in photovoltaic (PV) panels can significantly reduce the power generation efficiency of the system and may cause localized overheating due to uneven current distribution. Therefore, adopting precise pixel-level defect detection, i.e., defect
Externí odkaz:
https://doaj.org/article/c8d731ba9c464bc392098f69d8892f0e
Publikováno v:
Agriculture, Vol 14, Iss 8, p 1397 (2024)
Diagnosing agricultural machinery faults is critical to agricultural automation, and identifying vibration signals from faulty bearings is important for agricultural machinery fault diagnosis and predictive maintenance. In recent years, data–driven
Externí odkaz:
https://doaj.org/article/ce5e19c1381e4beca3a58cbae42ee0bc
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 5, p 726 (2024)
Feeding is a critical process in aquaculture, as it has a direct impact on the quantity and quality of fish. With advances in convolutional neural network (CNN) and vision transformer (ViT), intelligent feeding has been widely adopted in aquaculture,
Externí odkaz:
https://doaj.org/article/d9163c3e06fc43379172ccaf814716a2
Publikováno v:
Symmetry, Vol 16, Iss 4, p 468 (2024)
Road extraction is a typical task in the semantic segmentation of remote sensing images, and one of the most efficient techniques for solving this task in recent years is the vision transformer technique. However, roads typically exhibit features suc
Externí odkaz:
https://doaj.org/article/0c653c659acf4ea4a3068bf74810bebe