Zobrazeno 1 - 10
of 101
pro vyhledávání: '"wise IoU"'
Publikováno v:
Alexandria Engineering Journal, Vol 104, Iss , Pp 423-433 (2024)
In the realm of underwater object detection, conventional methodologies often encounter challenges in accurately identifying and detecting small targets. These difficulties stem primarily from the intricate nature of underwater environments, suboptim
Externí odkaz:
https://doaj.org/article/9dc5a1076cbd4184a3df90d840f00246
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 17, Iss 1, Pp 1-9 (2024)
Abstract With the rapid development of unmanned aerial vehicle (UAV) technology, there is an urgent need for high-performance aerial object detection algorithms that are tailored for deployment on drones with limited computing capabilities. This pape
Externí odkaz:
https://doaj.org/article/28796551c0894fa28714f0847fb4dac9
Autor:
Zhengyan Liu, Xu Li
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract The effective identification of fruit tree leaf disease is of great practical significance to reduce pesticide spraying, improve fruit yield and realize ecological agriculture. Computer vision technology can be effectively identifying and pr
Externí odkaz:
https://doaj.org/article/80ab68cf5426462aa621e7869143dc6a
Autor:
Jinan Yu, Rongchang Fu
Publikováno v:
Engenharia Agrícola, Vol 44 (2024)
ABSTRACT As the application scenarios of embedded devices become increasingly extensive, the use of high-performance convolutional neural networks can solve the problem of low accuracy of multiple defects detection in apples. However, owing to the ov
Externí odkaz:
https://doaj.org/article/22b2de26a52047388ae140ff04d9891b
Publikováno v:
IEEE Access, Vol 12, Pp 72938-72956 (2024)
In recent years, jute, as an important natural fiber crop, has become more and more significant in the production process of insect pests, causing serious harm to agricultural production. Especially in the field of crop pest identification with compl
Externí odkaz:
https://doaj.org/article/f7ff2831aff544c3a7635d79221fb271
Publikováno v:
Sensors, Vol 24, Iss 22, p 7401 (2024)
LiDAR and cameras, often regarded as the “eyes” of intelligent driving vehicles, are vulnerable to adverse weather conditions like haze, rain, and snow, compromising driving safety. In order to solve this problem and enhance the environmental sen
Externí odkaz:
https://doaj.org/article/3113629f3d8d4f3f86b17c517116d38d
Publikováno v:
Gong-kuang zidonghua, Vol 50, Iss 5, Pp 36-43, 66 (2024)
A coal gangue detection method in coal preparation plant based on YOLOv5s-FSW model is proposed to address the problems of insufficient feature extraction, large parameter quantity, low detection precision, and poor real-time performance in existing
Externí odkaz:
https://doaj.org/article/8dbcc5c7dd6b483c9c845c07efbb96c0
Publikováno v:
Drones, Vol 8, Iss 7, p 310 (2024)
Unmanned aerial vehicle maritime search and rescue target detection is susceptible to external factors, which can seriously reduce detection accuracy. To address these challenges, the DLSW-YOLOv8n algorithm is proposed combining Deformable Large Kern
Externí odkaz:
https://doaj.org/article/dc14ee8d959f4cffab803e2324a6c50c
Autor:
Junjie Li, Mingxia Chen
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5171 (2024)
To address the current steel surface defect detection algorithms in practical applications involving low detection accuracy, an efficient and highly accurate strip steel surface defect detection algorithm, DEW-YOLO, is proposed in this paper. Firstly
Externí odkaz:
https://doaj.org/article/85b5bbb64d3442418856ccf12e7f4ac8
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
Detecting and localizing standing dead trees (SDTs) is crucial for effective forest management and conservation. Due to challenges posed by mountainous terrain and road conditions, conducting a swift and comprehensive survey of SDTs through tradition
Externí odkaz:
https://doaj.org/article/8723d5442fac42f4b5087f401107fd17