Zobrazeno 1 - 10
of 33
pro vyhledávání: '"Shenming Qu"'
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:
PeerJ Computer Science, Vol 10, p e2304 (2024)
The temporal dilated convolutional model usually requires a large amount of computing resources in the human pose recognition task, especially when the input image information is too complex, which will lead to the shortcomings of low accuracy and la
Externí odkaz:
https://doaj.org/article/ada91966281b4b2abaf7ab30d4ce3ce5
Autor:
Yujie Wang, Zhengao Di, Minglang Qin, Shenming Qu, Wenbo Zhong, Lingfeng Yuan, Jing Zhang, Julian M. Hibberd, Ziyi Yu
Publikováno v:
ACS Central Science, Vol 10, Iss 5, Pp 1094-1104 (2024)
Externí odkaz:
https://doaj.org/article/7b5fb39d6d7e4040942b10d1149e7579
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-12 (2023)
Abstract Traffic sign detection is a challenging task for unmanned driving systems. In the traffic sign detection process, the object size and weather conditions vary widely, which will have a certain impact on the detection accuracy. In order to sol
Externí odkaz:
https://doaj.org/article/3d3e047b6e6e407aa19dec24485c0ee8
Publikováno v:
PLoS ONE, Vol 17, Iss 10, p e0275438 (2022)
3D object detection is vital in the environment perception of autonomous driving. The current monocular 3D object detection technology mainly uses RGB images and pseudo radar point clouds as input. The methods of taking RGB images as input need to le
Externí odkaz:
https://doaj.org/article/089a17a590824c549ffc2874401e2c23
Autor:
Shuanbao Li, Shenming Qu
Publikováno v:
Discrete Dynamics in Nature and Society, Vol 2022 (2022)
Based on Bayesian method, this paper constructs a model for estimating fund performance evaluation, and uses machine learning algorithm to construct a sampler that can sample on the basis of conditional distribution. Sampling is used for stress test,
Externí odkaz:
https://doaj.org/article/cbf24d5e9c434fe1b53d9a1202cb4a6b
Publikováno v:
PLoS ONE, Vol 16, Iss 9, p e0257317 (2021)
To solve the problem of one-sided pursuit of the shortest distance but ignoring the tourist experience in the process of tourism route planning, an improved ant colony optimization algorithm is proposed for tourism route planning. Contextual informat
Externí odkaz:
https://doaj.org/article/0c624077c9fc46c783937fcb63be084f
Publikováno v:
Applied Sciences, Vol 12, Iss 8, p 4068 (2022)
Extracting roads from remote sensing images can support a range of geo-information applications. However, it is challenging due to factors such as the complex distribution of ground objects and occlusion of buildings, trees, shadows, etc. Pixel-wise
Externí odkaz:
https://doaj.org/article/1f61a2516c404f5faa472c16e748b5d6
Publikováno v:
Sensors, Vol 21, Iss 11, p 3846 (2021)
The original Hyperspectral image (HSI) has different degrees of Hughes phenomenon and mixed noise, leading to the decline of classification accuracy. To make full use of the spatial-spectral joint information of HSI and improve the classification acc
Externí odkaz:
https://doaj.org/article/edd99a1ecb624128b6324d6327b815e1
Publikováno v:
Scientific Reports. 1/27/2022, Vol. 12 Issue 1, p1-16. 16p.