Zobrazeno 1 - 10
of 2 918
pro vyhledávání: '"On-line detection"'
Autor:
Dominik Scholand, Britta Schmalz
Publikováno v:
International Soil and Water Conservation Research, Vol 12, Iss 4, Pp 761-774 (2024)
Using soil conservation practices such as contouring are able to reduce soil loss on arable land parcels. In the empirical model of the Universal Soil Loss Equation (USLE), these measures are taken into account by the P-factor for support practice ma
Externí odkaz:
https://doaj.org/article/4fa82ecb3cbf4bf38180c00f0088abe8
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-19 (2024)
Abstract In order to address the challenges of low lane line detection rates caused by complex road conditions,we propose a novel algorithm that integrates frost and ice optimisation with optimal thresholding. A pre-processing model based on Retinex
Externí odkaz:
https://doaj.org/article/a0d08c2dd0a244e48b2f2e1d2efe2c79
Publikováno v:
CT Lilun yu yingyong yanjiu, Vol 33, Iss 6, Pp 781-789 (2024)
In this paper, a Hough transform method based on image gradient featured extraction is proposed to eliminate the ring artifacts of CT scanning system. Firstly, we use the gradient featured cluster analysis of the polar coordinate image to preliminary
Externí odkaz:
https://doaj.org/article/f67dfb8f1b8b4612b26b4f8ca88a559b
Publikováno v:
Zhipu Xuebao, Vol 45, Iss 5, Pp 656-665 (2024)
Smoke aerosols contain many harmful substances and have become one of the major sources of indoor pollutants. The smoke aerosols released into the environment are easy to react with various oxidants presented in the room, namely the aging process of
Externí odkaz:
https://doaj.org/article/cbba0df189384777a4f5355b727176f1
Akademický článek
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Publikováno v:
Engineering Reports, Vol 6, Iss 9, Pp n/a-n/a (2024)
Abstract In recent years, automatic document and text analysis has gained significant importance, driven by advancements in optical character recognition (OCR) technology and the need for efficient processing of large volumes of printed or handwritte
Externí odkaz:
https://doaj.org/article/2adcd49a69b443748a73d62cfbaf09cd
Publikováno v:
Chinese Journal of Mechanical Engineering, Vol 37, Iss 1, Pp 1-16 (2024)
Abstract The advancement of autonomous driving heavily relies on the ability to accurate lane lines detection. As deep learning and computer vision technologies evolve, a variety of deep learning-based methods for lane line detection have been propos
Externí odkaz:
https://doaj.org/article/34745d9667234d89b37ae982668052b6
Publikováno v:
Remote Sensing, Vol 16, Iss 23, p 4585 (2024)
The segmentation and recognition of power lines are crucial for the UAV-based inspection of overhead power lines. To address the issues of class imbalance, low sample quantity, and long-range dependency in images, a specialized semantic segmentation
Externí odkaz:
https://doaj.org/article/63b54c4cb6a44b61ad7ffd416fb8edd1
Autor:
Yangheng Hu, Yijin Wu, Qiang Yang, Yang Liu, Shunli Wang, Jianping Dong, Xiaohua Zeng, Dapeng Zhang
Publikováno v:
Energies, Vol 17, Iss 22, p 5742 (2024)
Detecting faulty lines in small-current, grounded systems is a crucial yet challenging task in power system protection. Existing methods often struggle with the accurate identification of faults due to the complex and dynamic nature of current and vo
Externí odkaz:
https://doaj.org/article/0837437193fa46c1a1c5862188e86114
Publikováno v:
Frontiers in Marine Science, Vol 11 (2024)
IntroductionAutonomous Underwater Vehicles (AUVs) are capable of independently performing underwater navigation tasks, with side-scan sonar being a primary tool for underwater detection. The integration of these two technologies enables autonomous mo
Externí odkaz:
https://doaj.org/article/3f7a2f679f9a45c6a4426f50a967207c