Zobrazeno 1 - 10
of 149
pro vyhledávání: '"TensorRT"'
Autor:
K. Vinoth, Sasikumar P
Publikováno v:
Results in Engineering, Vol 23, Iss , Pp 102510- (2024)
Images captured in low-light conditions present significant challenges for accurate object detection due to factors such as high noise, poor illumination, and low contrast. In this study, we propose an innovative approach that combines pixel-wise dep
Externí odkaz:
https://doaj.org/article/3707ecc288e84195b4c59bd5cd7938aa
Publikováno v:
Kongzhi Yu Xinxi Jishu, Iss 1, Pp 65-72 (2024)
The accurate and fast localization of key components on high-speed railways in operation serves is one of the foundations for fault diagnosis of high-speed railways. However, utilizing ordinary industrial cameras for data collection on operational hi
Externí odkaz:
https://doaj.org/article/0f2ab81a836a490788b2dfd6f3dfc4bd
Publikováno v:
AI, Vol 4, Iss 4, Pp 926-948 (2023)
Deep learning is employed in many applications, such as computer vision, natural language processing, robotics, and recommender systems. Large and complex neural networks lead to high accuracy; however, they adversely affect many aspects of deep lear
Externí odkaz:
https://doaj.org/article/3dcb79f22b474cb49f0c16efbf19005c
Publikováno v:
Energies, Vol 17, Iss 12, p 2797 (2024)
The LSTM neural network is often employed for time-series data prediction due to its strong nonlinear mapping capability and memory effect, allowing for better identification of complex data characteristics. However, the large computational workload
Externí odkaz:
https://doaj.org/article/ee3171de4cf74c6fb9a776a1f1521132
Publikováno v:
IEEE Access, Vol 11, Pp 19186-19201 (2023)
Spurred by the worldwide concern for forest protection and the increased log sales, most countries have standardized log volume calculations to avoid excessive timber and protect buyers. However, log volume is currently manually measured, suffering f
Externí odkaz:
https://doaj.org/article/cd90b92089654536956d60c751c84c69
Publikováno v:
IEEE Open Journal of Intelligent Transportation Systems, Vol 4, Pp 2-13 (2023)
Trajectory prediction is a crucial step in the pipeline for autonomous driving because it not only improves the planning of future routes, but also ensures vehicle safety. On the basis of deep neural networks, numerous trajectory prediction models ha
Externí odkaz:
https://doaj.org/article/2500b7a9f1e64b7bb71c4f31c504cdb1
Publikováno v:
Gong-kuang zidonghua, Vol 48, Iss 12, Pp 26-32 (2022)
The coal flow of the belt conveyor will be mixed with anchor rod, angle iron, wood, gangue, and lump coal. This will easily lead to the tearing of the conveyor belt, the blockage of the transition and even the breakage of the belt. It is difficult fo
Externí odkaz:
https://doaj.org/article/2e0e93cc08864c7c949c2cbaebfefdb2
Akademický článek
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Publikováno v:
Applied Sciences, Vol 13, Iss 15, p 8619 (2023)
In response to the issues of high-intensity labor, low efficiency, and potential damage to crayfish associated with traditional manual sorting methods, an automated and non-contact sorting approach based on an improved YOLOv5 algorithm is proposed fo
Externí odkaz:
https://doaj.org/article/100c6c0b3d414082ad0383b21bcaa8ff
Publikováno v:
Jurnal Infotel, Vol 13, Iss 4, Pp 216-222 (2021)
Object detection gives a computer ability to classify objects in an image or video. However, high specified devices are needed to get a good performance. To enable devices with low specifications performs better, one way is offloading the computation
Externí odkaz:
https://doaj.org/article/ebe68b194b7149de8bf842dd0003e709