Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385202346> ?p ?o ?g. }
Showing items 1 to 80 of
80
with 100 items per page.
- W4385202346 endingPage "5560" @default.
- W4385202346 startingPage "5560" @default.
- W4385202346 abstract "At this stage, the inspection of transmission lines is dominated by UAV inspection. Insulators, as essential equipment for transmission line equipment, are susceptible to various factors during UAV detection, and their detection results often lead to leakages and false detection. Combining deep learning detection algorithms with the UAV transmission line inspection system can effectively solve the current sensing problem. To improve the recognition accuracy of insulator detection, the MS-COCO pre-training strategy that combines the FPN module with a cascading R-CNN algorithm based on the ResNeXt-101 network is proposed. The purpose of this paper is to systematically and comprehensively analyze mainstream isolator detection algorithms at the current stage and to verify the effectiveness of the improved Cascade R-CNN X101 model by combining the mAP (mean Average Precision) value and other related evaluation indices. Compared with Faster R-CNN, Retina Net, and other detection algorithms, the model is highly accurate and can effectively deal with the false detection, leakage, and non-recognition of the environment in online special detection. The research in this paper provides a new idea for intelligent fault detection of transmission line insulators and has some reference value for engineering applications." @default.
- W4385202346 created "2023-07-25" @default.
- W4385202346 creator A5017953105 @default.
- W4385202346 creator A5069884358 @default.
- W4385202346 creator A5075226939 @default.
- W4385202346 creator A5086346900 @default.
- W4385202346 date "2023-07-23" @default.
- W4385202346 modified "2023-09-28" @default.
- W4385202346 title "Deep-Learning-Based Detection of Transmission Line Insulators" @default.
- W4385202346 cites W2783876128 @default.
- W4385202346 cites W2804989318 @default.
- W4385202346 cites W2897772777 @default.
- W4385202346 cites W2909309670 @default.
- W4385202346 cites W2910009410 @default.
- W4385202346 cites W2963484278 @default.
- W4385202346 cites W3024024655 @default.
- W4385202346 cites W3033830685 @default.
- W4385202346 cites W3167310770 @default.
- W4385202346 cites W3212498967 @default.
- W4385202346 cites W4309026313 @default.
- W4385202346 cites W4313031060 @default.
- W4385202346 cites W4323036910 @default.
- W4385202346 cites W4376108443 @default.
- W4385202346 cites W4376117755 @default.
- W4385202346 doi "https://doi.org/10.3390/en16145560" @default.
- W4385202346 hasPublicationYear "2023" @default.
- W4385202346 type Work @default.
- W4385202346 citedByCount "0" @default.
- W4385202346 crossrefType "journal-article" @default.
- W4385202346 hasAuthorship W4385202346A5017953105 @default.
- W4385202346 hasAuthorship W4385202346A5069884358 @default.
- W4385202346 hasAuthorship W4385202346A5075226939 @default.
- W4385202346 hasAuthorship W4385202346A5086346900 @default.
- W4385202346 hasBestOaLocation W43852023461 @default.
- W4385202346 hasConcept C119599485 @default.
- W4385202346 hasConcept C127413603 @default.
- W4385202346 hasConcept C140311924 @default.
- W4385202346 hasConcept C152745839 @default.
- W4385202346 hasConcept C153180895 @default.
- W4385202346 hasConcept C154945302 @default.
- W4385202346 hasConcept C172707124 @default.
- W4385202346 hasConcept C212702 @default.
- W4385202346 hasConcept C33441834 @default.
- W4385202346 hasConcept C41008148 @default.
- W4385202346 hasConcept C761482 @default.
- W4385202346 hasConcept C76155785 @default.
- W4385202346 hasConcept C79403827 @default.
- W4385202346 hasConceptScore W4385202346C119599485 @default.
- W4385202346 hasConceptScore W4385202346C127413603 @default.
- W4385202346 hasConceptScore W4385202346C140311924 @default.
- W4385202346 hasConceptScore W4385202346C152745839 @default.
- W4385202346 hasConceptScore W4385202346C153180895 @default.
- W4385202346 hasConceptScore W4385202346C154945302 @default.
- W4385202346 hasConceptScore W4385202346C172707124 @default.
- W4385202346 hasConceptScore W4385202346C212702 @default.
- W4385202346 hasConceptScore W4385202346C33441834 @default.
- W4385202346 hasConceptScore W4385202346C41008148 @default.
- W4385202346 hasConceptScore W4385202346C761482 @default.
- W4385202346 hasConceptScore W4385202346C76155785 @default.
- W4385202346 hasConceptScore W4385202346C79403827 @default.
- W4385202346 hasIssue "14" @default.
- W4385202346 hasLocation W43852023461 @default.
- W4385202346 hasOpenAccess W4385202346 @default.
- W4385202346 hasPrimaryLocation W43852023461 @default.
- W4385202346 hasRelatedWork W2372382613 @default.
- W4385202346 hasRelatedWork W2389212530 @default.
- W4385202346 hasRelatedWork W2910881060 @default.
- W4385202346 hasRelatedWork W3042792066 @default.
- W4385202346 hasRelatedWork W4200004107 @default.
- W4385202346 hasRelatedWork W4360995741 @default.
- W4385202346 hasRelatedWork W4366583878 @default.
- W4385202346 hasRelatedWork W4376455439 @default.
- W4385202346 hasRelatedWork W4377692751 @default.
- W4385202346 hasRelatedWork W4381510277 @default.
- W4385202346 hasVolume "16" @default.
- W4385202346 isParatext "false" @default.
- W4385202346 isRetracted "false" @default.
- W4385202346 workType "article" @default.