Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Dengjie Yang"'
Publikováno v:
IEEE Access, Vol 12, Pp 24453-24464 (2024)
The complex environmental influences often complicate the detection of longitudinal tears in conveyor belts, resulting in insufficient detection accuracy, overlooked detection, and elevated false detection rates. In this study, we propose a new depth
Externí odkaz:
https://doaj.org/article/f42471ce938f49eaa457fac36d1d4240
Publikováno v:
PLoS ONE, Vol 18, Iss 4, p e0283878 (2023)
Belt tearing is the main safety accident of belt conveyor. The main cause of tearing is the doped bolt and steel in the conveying belt. In this paper, the bolt and steel are identified as the Hazard source of tear. In this paper, bolt and steel are d
Externí odkaz:
https://doaj.org/article/33c8f042742140b1937e1862be667bf3
Publikováno v:
Sensors, Vol 23, Iss 11, p 5140 (2023)
Coal production often involves a substantial presence of gangue and foreign matter, which not only impacts the thermal properties of coal and but also leads to damage to transportation equipment. Selection robots for gangue removal have garnered atte
Externí odkaz:
https://doaj.org/article/1b7fa1ad389f48bcba131b70e9e64da0
Publikováno v:
Journal of Physics: Conference Series. 2425:012011
Convolutional neural networks (CNNs) have achieved tremendous success in visual recognition tasks but mainly rely on massive learnable parameters. To solve this problem, many effective and efficient convolution operators have been proposed, such as g
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::063d6467e20f38207ffffbac2da0e1cb
https://doi.org/10.1088/1742-6596/2425/1/012011
https://doi.org/10.1088/1742-6596/2425/1/012011
Publikováno v:
Neural Information Processing ISBN: 9783030922726
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::da8ed2635776f838a21ce5b92821c2f8
https://doi.org/10.1007/978-3-030-92273-3_4
https://doi.org/10.1007/978-3-030-92273-3_4
Autor:
Lihua Jiang, Dengjie Yang
Publikováno v:
Journal of Physics: Conference Series. 1815:012039
In view of the different growth patterns of ginkgo branches and the need to avoid injury to Ginkgo branches when picking ginkgo leaves, this design provides a kind of ginkgo leaf picking machine that can carry out large-scale mechanized picking in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ed345635f9eeced663611f27d17dad45
https://doi.org/10.1088/1742-6596/1815/1/012039
https://doi.org/10.1088/1742-6596/1815/1/012039