Zobrazeno 1 - 10
of 4 234
pro vyhledávání: '"Small target"'
Publikováno v:
工程科学学报, Vol 46, Iss 9, Pp 1647-1658 (2024)
Traffic sign detection and recognition facilitates real-time monitoring and interpretation of various traffic signs on the road, such as those indicating speed limits, prohibition of overtaking, and navigation cues. This has substantial applications
Externí odkaz:
https://doaj.org/article/f2d176f3748547e0a2cfd8d264c21796
Publikováno v:
Plant Methods, Vol 20, Iss 1, Pp 1-19 (2024)
Abstract Rice blast is the primary disease affecting rice yield and quality, and its effective detection is essential to ensure rice yield and promote sustainable agricultural production. To address traditional disease detection methods’ time-consu
Externí odkaz:
https://doaj.org/article/815cdadf02c64863896e786079e2a804
Publikováno v:
Radioengineering, Vol 33, Iss 3, Pp 463-476 (2024)
Existing sea surface small target detection methods typically rely on intricate feature extraction techniques on transformed radar returns. However, these approaches suffer from issues of high computational complexity and low real-time performance. T
Externí odkaz:
https://doaj.org/article/86aa8bd8114541259851876e9d372c8f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract Aerial image target detection is essential for urban planning, traffic monitoring, and disaster assessment. However, existing detection algorithms struggle with small target recognition and accuracy in complex environments. To address this i
Externí odkaz:
https://doaj.org/article/95bc7869caa044c19cc8214dd843b871
Publikováno v:
Electronic Research Archive, Vol 32, Iss 7, Pp 4563-4580 (2024)
When recognizing targets by unmanned aerial vehicles (UAVs), problems such as small size, dense dispersion, and complex background are likely to occur, resulting in low recognition rates. In order to solve the above problems, this work proposed a lig
Externí odkaz:
https://doaj.org/article/84b29f193b8245b6a84e33e7da3462b9
Publikováno v:
智慧农业, Vol 6, Iss 4, Pp 42-52 (2024)
ObjectiveThe monitoring of livestock grazing in natural pastures is a key aspect of the transformation and upgrading of large-scale breeding farms. In order to meet the demand for large-scale farms to achieve accurate real-time detection of a large n
Externí odkaz:
https://doaj.org/article/15a75a289c254469ac1cd54b5f653d32
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract In the realm of marine environmental engineering, the swift and accurate detection of underwater targets is of considerable significance. Recently, methods based on Convolutional Neural Networks (CNN) have been applied to enhance the detecti
Externí odkaz:
https://doaj.org/article/9be63e5f87d7453899f36d5360238a2c
Publikováno v:
Journal of Engineering and Applied Science, Vol 71, Iss 1, Pp 1-19 (2024)
Abstract The safety hazards may be caused by power grid operators not wearing insulating gloves according to regulations for live electrical working. Additionally, existing methods for detecting the wearing status of insulating gloves suffer from low
Externí odkaz:
https://doaj.org/article/3b4c0cba3b4747f4b4f055703766ff1e
Autor:
Tao Yang, Jingjing Wei, Yongjun Xiao, Shuyang Wang, Jingxuan Tan, Yupeng Niu, Xuliang Duan, Fei Pan, Haibo Pu
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionZanthoxylum bungeanum Maxim is an economically significant crop in Asia, but large-scale cultivation is often threatened by frequent diseases, leading to significant yield declines. Deep learning-based methods for crop disease recognition
Externí odkaz:
https://doaj.org/article/99c18d83cb34448bb93c7cc3eb94192e
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 5, Pp 52-59 (2024)
The existing deep learning based coal gangue recognition methods have problems in complex working conditions such as low lighting, high noise, and motion blur in coal mines, such as low precision of coal gangue recognition, easy omission of small tar
Externí odkaz:
https://doaj.org/article/aabeefd4d88b4d72b3510eead54a780f