Zobrazeno 1 - 10
of 372
pro vyhledávání: '"ghostnet"'
Publikováno v:
International Journal of Intelligent Computing and Cybernetics, 2024, Vol. 17, Issue 4, pp. 869-889.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJICC-07-2024-0317
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-15 (2024)
Abstract To assist the visually impaired in their daily lives and solve the problems associated with poor portability, high hardware costs, and environmental susceptibility of indoor object-finding aids for the visually impaired, an improved YOLOv5 a
Externí odkaz:
https://doaj.org/article/ca28da83043249c6b5761d4a43854907
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Wheat is one of the important food crops in the world, and the stability and growth of wheat production have a decisive impact on global food security and economic prosperity. Wheat counting is of great significance for agricultural management, yield
Externí odkaz:
https://doaj.org/article/00e4f20d41464b86b32b513059537570
Autor:
Jiayi Zeng, Han Zhong
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Road damage detection is an crucial task to ensure road safety. To tackle the issues of poor performance on multi-scale pavement distresses and high costs in detection task, this paper presents an improved lightweight road damage detection a
Externí odkaz:
https://doaj.org/article/fcad3a122b404bee9bb2129e9299ba50
Publikováno v:
Journal of Informatics and Web Engineering, Vol 3, Iss 1, Pp 155-168 (2024)
The presence issue of inaccurate plant disease detection persists under real field conditions and most deep learning (DL) techniques still struggle to achieve real-time performance. Hence, challenges in choosing a suitable deep-learning technique to
Externí odkaz:
https://doaj.org/article/cb3612211d3148bf921b33e14b944a32
Autor:
Resha Dwika Hefni Al-Fahsi, Ahmad Naghim Fauzaini Prawirosoenoto, Hanung Adi Nugroho, Igi Ardiyanto
Publikováno v:
IEEE Access, Vol 12, Pp 81281-81292 (2024)
Applying a deep learning-based model for medical image segmentation on resource-constrained devices involves substantial challenges. This task demands a model with decreased parameters and floating-point operations (FLOPs) to operate effectively on s
Externí odkaz:
https://doaj.org/article/4a99f93041554d918f8aa6c3054c08fe
Publikováno v:
Applied Sciences, Vol 14, Iss 22, p 10613 (2024)
Ginseng is a common medicinal herb with high value due to its unique medicinal properties. Traditional methods for classifying ginseng rely heavily on manual judgment, which is time-consuming and subjective. In contrast, deep learning methods can obj
Externí odkaz:
https://doaj.org/article/206bcdce07da419faacbe0c86d43cd69
Publikováno v:
Energies, Vol 17, Iss 18, p 4731 (2024)
Power inspection robots are essential for ensuring safe and optimal operation of power systems. However, during the operation of the power inspection robot, constraints imposed by computational and storage resources slow down the detection speed of t
Externí odkaz:
https://doaj.org/article/940b8c980e674434ba0cb317f7d419d6
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 8000 (2024)
In response to the challenges posed by complex background textures and limited hardware resources in fabric defect detection, this study proposes a lightweight fabric defect detection algorithm based on an improved GSL-YOLOv8n model. Firstly, to redu
Externí odkaz:
https://doaj.org/article/5c2e745c831145a6b99847f5fde6396f
Publikováno v:
Agriculture, Vol 14, Iss 9, p 1441 (2024)
The growth environment of green walnuts is complex. In the actual picking and identification process, interference from near-background colors, occlusion by branches and leaves, and excessive model complexity pose higher demands on the performance of
Externí odkaz:
https://doaj.org/article/108bf98f704e4a1684660f84d47581e8