Zobrazeno 1 - 10
of 3 450
pro vyhledávání: '"yolov8"'
Publikováno v:
Robotic Intelligence and Automation, 2024, Vol. 44, Issue 6, pp. 817-829.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RIA-03-2024-0065
Publikováno v:
Journal of Safety Science and Resilience, Vol 5, Iss 4, Pp 422-431 (2024)
Stringent fire prevention requirements are imperative in expansive environments. Fire detection in diverse large-scale settings typically relies on sensor-based or AI-driven target detection methods. Traditional fire detectors often suffer from false
Externí odkaz:
https://doaj.org/article/8c1669dc18e3494e98f86131b7ddc38c
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract Timely and accurate detection of rice pests is highly important for pest control, as well as for improving rice yield and quality. However, owing to the high interclass similarity, significant intraclass age differences, and complex backgrou
Externí odkaz:
https://doaj.org/article/cc63dc6ff27e486db5b1d37259e6420b
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract Transformer is an important part of the power system, and its operation status is related to the safety and stability of the power system. In order to effectively improve the recognition accuracy of abnormal transformer heat, an improved YOL
Externí odkaz:
https://doaj.org/article/1195cc16fc98435587c96aa29f8894c6
Publikováno v:
IET Image Processing, Vol 18, Iss 13, Pp 4023-4031 (2024)
Abstract In practical production applications, the efficiency and success rate of gesture recognition directly affect the user experience and work efficiency. However, the existing gesture recognition models have the problem of a large number of mode
Externí odkaz:
https://doaj.org/article/df741cb7a4554906b325e7f7efa96ec5
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Object detection in drone aerial images is challenging due to the difficulty of small object detection and complex backgrounds. To address these issues, this paper proposes an improved object detection model, perception and target capture de
Externí odkaz:
https://doaj.org/article/fe7b5a9e3fa641e5aada92a55194a47f
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-12 (2024)
Abstract Conveyor belt deviation is a commmon and severe type of fault in belt conveyor systems, often resulting in significant economic losses and potential environment pollution. Traditional detection methods have obvious limitations in fault local
Externí odkaz:
https://doaj.org/article/46d87406ba1d4995ba231615c245a1b7
Publikováno v:
Alexandria Engineering Journal, Vol 106, Iss , Pp 298-311 (2024)
Object detection in road scenarios is crucial for intelligent transport systems and autonomous driving, but complex traffic conditions pose significant challenges. This paper introduces Z-You Only Look Once version 8 small (Z-YOLOv8s), designed to im
Externí odkaz:
https://doaj.org/article/a484d38475514a11b7a2475814ea83d5
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Aiming at the difficulty of identification and localization in the detection of contraband targets in X-ray images, as well as the demand for upgrading and deployment of security equipment during the peak flow stage, a lightweight X-ray secu
Externí odkaz:
https://doaj.org/article/9bf9171aaf5a491f889fba18951624cd
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract In Thailand, two snail-eating turtle species in the genus Malayemes (M. subtrijuga and M. macrocephala) are protected animals in which smuggling and trading are illegal. Recently, a new species M. khoratensis has been reported and it has not
Externí odkaz:
https://doaj.org/article/49185727eea843b8ac54e9027b2859e2