FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2891494220> ?p ?o ?g. }

• W2891494220 endingPage "450" @default.
• W2891494220 startingPage "435" @default.
• W2891494220 abstract "Rockfall hazards occur widely in regions with steep terrain such as Kinta Valley, Malaysia. Rockfalls threaten urban areas and the transportation corridors that pass through such areas. This paper proposes a comprehensive rockfall hazard assessment strategy based on high-resolution laser scanning data (LiDAR), both airborne and terrestrial. It provides (1) rockfall source identification by developing a hybrid model based on a bagging neural network (BBNN), which is compared with various machine learning algorithms and ensemble models (bagging, boosting, voting) and a Gaussian mixture model; (2) 3D modelling of rockfall kinematic processes (trajectory distribution, frequency, velocity, kinetic energy, bounce height, impact location); and (3) hazard zonation based on spatial modelling in combination with an analytical hierarchy process (AHP) in a geographic information system (GIS). In addition, mitigation measures are suggested based on the modelling results. The proposed methodology was validated in three study areas to test the applicability and generalisability of the methods. The results show that the proposed hybrid model can accurately identify rockfall source areas at the regional scale. It achieved a 97% training accuracy and 5-fold cross-validation area under curve (AUC) value of 0.96. The mechanical parameters of the developed 3D model were calibrated with an accuracy of 97%, 93% and 95% for Gunung Lang, Gua Tambun and Gunung Rapat areas, respectively. In addition, the proposed spatial model effectively delineates areas at risk of rockfalls. This method provides a comprehensive understanding of rockfall hazards that can assist authorities to develop proper management and protection of urban areas and transportation corridors." @default.
• W2891494220 created "2018-09-27" @default.
• W2891494220 creator A5059040421 @default.
• W2891494220 creator A5063546928 @default.
• W2891494220 date "2019-01-01" @default.
• W2891494220 modified "2023-10-16" @default.
• W2891494220 title "A novel rockfall hazard assessment using laser scanning data and 3D modelling in GIS" @default.
• W2891494220 cites W1970060183 @default.
• W2891494220 cites W1974825450 @default.
• W2891494220 cites W1980118872 @default.
• W2891494220 cites W1985944137 @default.
• W2891494220 cites W1989156417 @default.
• W2891494220 cites W1989390169 @default.
• W2891494220 cites W2001410459 @default.
• W2891494220 cites W2015514340 @default.
• W2891494220 cites W2017285160 @default.
• W2891494220 cites W2023747970 @default.
• W2891494220 cites W2027436942 @default.
• W2891494220 cites W2034491724 @default.
• W2891494220 cites W2038446075 @default.
• W2891494220 cites W2041881833 @default.
• W2891494220 cites W2054982407 @default.
• W2891494220 cites W2071068479 @default.
• W2891494220 cites W2082376913 @default.
• W2891494220 cites W2084510919 @default.
• W2891494220 cites W2087495968 @default.
• W2891494220 cites W2088730795 @default.
• W2891494220 cites W2100253678 @default.
• W2891494220 cites W2104998606 @default.
• W2891494220 cites W2112350863 @default.
• W2891494220 cites W2205158676 @default.
• W2891494220 cites W2320987650 @default.
• W2891494220 cites W2461634524 @default.
• W2891494220 cites W2489814317 @default.
• W2891494220 cites W2497116720 @default.
• W2891494220 cites W2519746072 @default.
• W2891494220 cites W2523440038 @default.
• W2891494220 cites W2585206336 @default.
• W2891494220 cites W2599052326 @default.
• W2891494220 doi "https://doi.org/10.1016/j.catena.2018.09.012" @default.
• W2891494220 hasPublicationYear "2019" @default.
• W2891494220 type Work @default.
• W2891494220 sameAs 2891494220 @default.
• W2891494220 citedByCount "41" @default.
• W2891494220 countsByYear W28914942202019 @default.
• W2891494220 countsByYear W28914942202020 @default.
• W2891494220 countsByYear W28914942202021 @default.
• W2891494220 countsByYear W28914942202022 @default.
• W2891494220 countsByYear W28914942202023 @default.
• W2891494220 crossrefType "journal-article" @default.
• W2891494220 hasAuthorship W2891494220A5059040421 @default.
• W2891494220 hasAuthorship W2891494220A5063546928 @default.
• W2891494220 hasConcept C127313418 @default.
• W2891494220 hasConcept C127413603 @default.
• W2891494220 hasConcept C161840515 @default.
• W2891494220 hasConcept C178790620 @default.
• W2891494220 hasConcept C185592680 @default.
• W2891494220 hasConcept C186295008 @default.
• W2891494220 hasConcept C187320778 @default.
• W2891494220 hasConcept C200601418 @default.
• W2891494220 hasConcept C204665574 @default.
• W2891494220 hasConcept C205649164 @default.
• W2891494220 hasConcept C206355099 @default.
• W2891494220 hasConcept C33923547 @default.
• W2891494220 hasConcept C39432304 @default.
• W2891494220 hasConcept C41008148 @default.
• W2891494220 hasConcept C41856607 @default.
• W2891494220 hasConcept C42475967 @default.
• W2891494220 hasConcept C49261128 @default.
• W2891494220 hasConcept C58640448 @default.
• W2891494220 hasConcept C62649853 @default.
• W2891494220 hasConcept C87345402 @default.
• W2891494220 hasConceptScore W2891494220C127313418 @default.
• W2891494220 hasConceptScore W2891494220C127413603 @default.
• W2891494220 hasConceptScore W2891494220C161840515 @default.
• W2891494220 hasConceptScore W2891494220C178790620 @default.
• W2891494220 hasConceptScore W2891494220C185592680 @default.
• W2891494220 hasConceptScore W2891494220C186295008 @default.
• W2891494220 hasConceptScore W2891494220C187320778 @default.
• W2891494220 hasConceptScore W2891494220C200601418 @default.
• W2891494220 hasConceptScore W2891494220C204665574 @default.
• W2891494220 hasConceptScore W2891494220C205649164 @default.
• W2891494220 hasConceptScore W2891494220C206355099 @default.
• W2891494220 hasConceptScore W2891494220C33923547 @default.
• W2891494220 hasConceptScore W2891494220C39432304 @default.
• W2891494220 hasConceptScore W2891494220C41008148 @default.
• W2891494220 hasConceptScore W2891494220C41856607 @default.
• W2891494220 hasConceptScore W2891494220C42475967 @default.
• W2891494220 hasConceptScore W2891494220C49261128 @default.
• W2891494220 hasConceptScore W2891494220C58640448 @default.
• W2891494220 hasConceptScore W2891494220C62649853 @default.
• W2891494220 hasConceptScore W2891494220C87345402 @default.
• W2891494220 hasLocation W28914942201 @default.
• W2891494220 hasOpenAccess W2891494220 @default.
• W2891494220 hasPrimaryLocation W28914942201 @default.
• W2891494220 hasRelatedWork W2000389091 @default.
• W2891494220 hasRelatedWork W204228680 @default.
• W2891494220 hasRelatedWork W207400331 @default.

• next