Deep Power Vision Technology and Intelligent Vision Sensors
This reprint provides some up-to-date solutions in the domain of deep power vision technology and intelligent vision sensors. It offers the latest perspectives covering the detection, classification, and some other basic tasks in processing and analyzing the inspection images or videos of power syst...
Sparad:
| Materialtyp: | Online |
|---|---|
| Språk: | engelska |
| Utgiven: |
MDPI - Multidisciplinary Digital Publishing Institute
2024
|
| Ämnen: | |
| Länkar: | ONIX_20240514_9783725800162_113 |
| Taggar: |
Inga taggar, Lägg till första taggen!
|
| _version_ | 1869524255476023296 |
|---|---|
| collection | Directory of Open Access Books |
| description | This reprint provides some up-to-date solutions in the domain of deep power vision technology and intelligent vision sensors. It offers the latest perspectives covering the detection, classification, and some other basic tasks in processing and analyzing the inspection images or videos of power systems. |
| format | Online |
| id | doab-20.500.12854ir-137511 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1375112024-05-14T13:21:02Z Deep Power Vision Technology and Intelligent Vision Sensors Zhang, Ke Qi, Yincheng insulator umbrella disc shedding defect detection dehazing algorithm feature fusion attention mechanism multi-geometric reasoning insulator defect detection deep learning graph convolutional neural network aerial insulator images object detection YOLOX small target SIoU contextual information enhancement joint heterogeneous representation transmission line infrared image substation equipment superpixel segmentation temperature probability density bolt defect recognition wide residuals double attention tilting insulator orientation detection angle regression prior constraint image classification matrix decomposition attributes word vectors geometric transformation fittings transformer transmission channels non-homogeneous fog dual attention DAMPHN image defogging n/a thema EDItEUR::U Computing and Information Technology::UY Computer science This reprint provides some up-to-date solutions in the domain of deep power vision technology and intelligent vision sensors. It offers the latest perspectives covering the detection, classification, and some other basic tasks in processing and analyzing the inspection images or videos of power systems. 2024-05-14T13:20:58Z 2024-05-14T13:20:58Z 2024 book ONIX_20240514_9783725800162_113 9783725800162 9783725800155 https://directory.doabooks.org/handle/20.500.12854/137511 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/8670 https://mdpi.com/books/pdfview/book/8670 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-0015-5 10.3390/books978-3-7258-0015-5 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725800162 9783725800155 158 open access |
| spellingShingle | insulator umbrella disc shedding defect detection dehazing algorithm feature fusion attention mechanism multi-geometric reasoning insulator defect detection deep learning graph convolutional neural network aerial insulator images object detection YOLOX small target SIoU contextual information enhancement joint heterogeneous representation transmission line infrared image substation equipment superpixel segmentation temperature probability density bolt defect recognition wide residuals double attention tilting insulator orientation detection angle regression prior constraint image classification matrix decomposition attributes word vectors geometric transformation fittings transformer transmission channels non-homogeneous fog dual attention DAMPHN image defogging n/a thema EDItEUR::U Computing and Information Technology::UY Computer science Deep Power Vision Technology and Intelligent Vision Sensors |
| title | Deep Power Vision Technology and Intelligent Vision Sensors |
| title_full | Deep Power Vision Technology and Intelligent Vision Sensors |
| title_fullStr | Deep Power Vision Technology and Intelligent Vision Sensors |
| title_full_unstemmed | Deep Power Vision Technology and Intelligent Vision Sensors |
| title_short | Deep Power Vision Technology and Intelligent Vision Sensors |
| title_sort | deep power vision technology and intelligent vision sensors |
| topic | insulator umbrella disc shedding defect detection dehazing algorithm feature fusion attention mechanism multi-geometric reasoning insulator defect detection deep learning graph convolutional neural network aerial insulator images object detection YOLOX small target SIoU contextual information enhancement joint heterogeneous representation transmission line infrared image substation equipment superpixel segmentation temperature probability density bolt defect recognition wide residuals double attention tilting insulator orientation detection angle regression prior constraint image classification matrix decomposition attributes word vectors geometric transformation fittings transformer transmission channels non-homogeneous fog dual attention DAMPHN image defogging n/a thema EDItEUR::U Computing and Information Technology::UY Computer science |
| topic_facet | insulator umbrella disc shedding defect detection dehazing algorithm feature fusion attention mechanism multi-geometric reasoning insulator defect detection deep learning graph convolutional neural network aerial insulator images object detection YOLOX small target SIoU contextual information enhancement joint heterogeneous representation transmission line infrared image substation equipment superpixel segmentation temperature probability density bolt defect recognition wide residuals double attention tilting insulator orientation detection angle regression prior constraint image classification matrix decomposition attributes word vectors geometric transformation fittings transformer transmission channels non-homogeneous fog dual attention DAMPHN image defogging n/a thema EDItEUR::U Computing and Information Technology::UY Computer science |
| url | ONIX_20240514_9783725800162_113 |