FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4378448946> ?p ?o ?g. }

• W4378448946 endingPage "103172" @default.
• W4378448946 startingPage "103172" @default.
• W4378448946 abstract "Unmanned aerial vehicles (UAVs) are widely used for surveillance in both civilian and military scenarios. The utilization of UAVs provides an opportunity for monitoring landslide-prone areas by automatically collecting geological information, thereby reducing the risks and the time required to be working in harsh environments. Due to the maximum travel time limit of UAVs and the geographical dispersion of landslide-prone areas, multiple UAVs are dispatched for surveillance tasks, and landslide-prone areas with high emergency priorities require mandatory visits. Here, we investigate a team orienteering problem with mandatory visits (TOPMV) for routing multi-UAVs to monitor scattered landslide-prone areas, with mandatory visits on those in poorly stable states. The proposed TOPMV aims to plan the optimal multi-UAV paths for maximizing the total amount of collected geological information. To solve the TOPMV with a realistic scale, we develop a large neighborhood search (LNS) algorithm embedding a neural network heuristic (NNH), in which the embedded NNH learns to perform adaptive destroy operators through a hierarchical recurrent graph convolutional network (HRGCN). We consider a real-world case study for monitoring of landslide-prone areas in three counties in southern Shaanxi Province, China. Finally, we test the proposed NNH on both small- and large-scale benchmark instances of the team orienteering problem. The experimental results demonstrate that our proposed NNH exhibits higher efficiency and provides better solution quality than state-of-the-art methods, especially in large-scale settings." @default.
• W4378448946 created "2023-05-27" @default.
• W4378448946 creator A5004405566 @default.
• W4378448946 creator A5007304896 @default.
• W4378448946 creator A5071311355 @default.
• W4378448946 creator A5080512851 @default.
• W4378448946 date "2023-07-01" @default.
• W4378448946 modified "2023-10-04" @default.
• W4378448946 title "Routing UAVs in landslides Monitoring: A neural network heuristic for team orienteering with mandatory visits" @default.
• W4378448946 cites W1192714208 @default.
• W4378448946 cites W1936177838 @default.
• W4378448946 cites W1963938442 @default.
• W4378448946 cites W1965882376 @default.
• W4378448946 cites W1967245676 @default.
• W4378448946 cites W1975382649 @default.
• W4378448946 cites W1996002457 @default.
• W4378448946 cites W2001532028 @default.
• W4378448946 cites W2056649556 @default.
• W4378448946 cites W2066238546 @default.
• W4378448946 cites W2105002757 @default.
• W4378448946 cites W2114778474 @default.
• W4378448946 cites W2140596151 @default.
• W4378448946 cites W2147996349 @default.
• W4378448946 cites W2184869115 @default.
• W4378448946 cites W2235607334 @default.
• W4378448946 cites W2314759401 @default.
• W4378448946 cites W2564703335 @default.
• W4378448946 cites W2767166014 @default.
• W4378448946 cites W2791918866 @default.
• W4378448946 cites W2895217190 @default.
• W4378448946 cites W2905653628 @default.
• W4378448946 cites W2909324897 @default.
• W4378448946 cites W2921628264 @default.
• W4378448946 cites W2954231671 @default.
• W4378448946 cites W2988693836 @default.
• W4378448946 cites W2999537755 @default.
• W4378448946 cites W3003692785 @default.
• W4378448946 cites W3009135302 @default.
• W4378448946 cites W3033152510 @default.
• W4378448946 cites W3036501114 @default.
• W4378448946 cites W3047863327 @default.
• W4378448946 cites W3048271757 @default.
• W4378448946 cites W3084064394 @default.
• W4378448946 cites W3087579589 @default.
• W4378448946 cites W3097210771 @default.
• W4378448946 cites W3109386843 @default.
• W4378448946 cites W3111260007 @default.
• W4378448946 cites W3125535900 @default.
• W4378448946 cites W3159134414 @default.
• W4378448946 cites W3185199585 @default.
• W4378448946 cites W3200869038 @default.
• W4378448946 cites W3203266107 @default.
• W4378448946 cites W4229443124 @default.
• W4378448946 cites W4285218144 @default.
• W4378448946 cites W4292314484 @default.
• W4378448946 cites W4296149635 @default.
• W4378448946 doi "https://doi.org/10.1016/j.tre.2023.103172" @default.
• W4378448946 hasPublicationYear "2023" @default.
• W4378448946 type Work @default.
• W4378448946 citedByCount "0" @default.
• W4378448946 crossrefType "journal-article" @default.
• W4378448946 hasAuthorship W4378448946A5004405566 @default.
• W4378448946 hasAuthorship W4378448946A5007304896 @default.
• W4378448946 hasAuthorship W4378448946A5071311355 @default.
• W4378448946 hasAuthorship W4378448946A5080512851 @default.
• W4378448946 hasConcept C127413603 @default.
• W4378448946 hasConcept C154945302 @default.
• W4378448946 hasConcept C173801870 @default.
• W4378448946 hasConcept C186295008 @default.
• W4378448946 hasConcept C187320778 @default.
• W4378448946 hasConcept C205649164 @default.
• W4378448946 hasConcept C2778755073 @default.
• W4378448946 hasConcept C41008148 @default.
• W4378448946 hasConcept C42475967 @default.
• W4378448946 hasConcept C48044578 @default.
• W4378448946 hasConcept C513932644 @default.
• W4378448946 hasConcept C58640448 @default.
• W4378448946 hasConcept C77088390 @default.
• W4378448946 hasConcept C79403827 @default.
• W4378448946 hasConceptScore W4378448946C127413603 @default.
• W4378448946 hasConceptScore W4378448946C154945302 @default.
• W4378448946 hasConceptScore W4378448946C173801870 @default.
• W4378448946 hasConceptScore W4378448946C186295008 @default.
• W4378448946 hasConceptScore W4378448946C187320778 @default.
• W4378448946 hasConceptScore W4378448946C205649164 @default.
• W4378448946 hasConceptScore W4378448946C2778755073 @default.
• W4378448946 hasConceptScore W4378448946C41008148 @default.
• W4378448946 hasConceptScore W4378448946C42475967 @default.
• W4378448946 hasConceptScore W4378448946C48044578 @default.
• W4378448946 hasConceptScore W4378448946C513932644 @default.
• W4378448946 hasConceptScore W4378448946C58640448 @default.
• W4378448946 hasConceptScore W4378448946C77088390 @default.
• W4378448946 hasConceptScore W4378448946C79403827 @default.
• W4378448946 hasLocation W43784489461 @default.
• W4378448946 hasOpenAccess W4378448946 @default.
• W4378448946 hasPrimaryLocation W43784489461 @default.
• W4378448946 hasRelatedWork W1525643724 @default.
• W4378448946 hasRelatedWork W2067938758 @default.

• next