Matches in SemOpenAlex for { <https://semopenalex.org/work/W4310971915> ?p ?o ?g. }
Showing items 1 to 90 of
90
with 100 items per page.
- W4310971915 abstract "Fertilizers are fundamental compounds to balance nutrients in the soil, ensuring its fertility for food production. In the industry of fertilizers, a common task is the overhaul of the pipelines that convey the material through production lines, which need to be performed periodically, to avoid duct blockages. Traditionally, this task is carried out manually, which requires interruption of production. Therefore, it implies time consumption and waste of money, in the case of unnecessary inspection. To avoid needless production stoppage, in this paper is presented a non-invasive overhaul method for sediment detection in the pipelines of fertilizer production lines based in neural networks. The proposed model uses thermal images to estimate the volume of sediments into pipelines. Furthermore, as it is difficult to obtain images of several pipeline blockage conditions, a methodology for artificial dataset creation is also provided. The results indicate the feasibility of the proposed methodology." @default.
- W4310971915 created "2022-12-21" @default.
- W4310971915 creator A5006158794 @default.
- W4310971915 creator A5016440861 @default.
- W4310971915 creator A5037041582 @default.
- W4310971915 creator A5063506828 @default.
- W4310971915 creator A5067924417 @default.
- W4310971915 creator A5070972408 @default.
- W4310971915 date "2022-10-17" @default.
- W4310971915 modified "2023-10-18" @default.
- W4310971915 title "A non-invasive learning-based method for pipeline overhaul on fertilizer production plants" @default.
- W4310971915 cites W1969208755 @default.
- W4310971915 cites W2041202606 @default.
- W4310971915 cites W2067223519 @default.
- W4310971915 cites W2087112669 @default.
- W4310971915 cites W2094108672 @default.
- W4310971915 cites W2342277278 @default.
- W4310971915 cites W2343158820 @default.
- W4310971915 cites W2560722161 @default.
- W4310971915 cites W2751027744 @default.
- W4310971915 cites W2799555431 @default.
- W4310971915 cites W2809455343 @default.
- W4310971915 cites W2894837707 @default.
- W4310971915 cites W2904727193 @default.
- W4310971915 cites W2915572311 @default.
- W4310971915 cites W2938438870 @default.
- W4310971915 cites W2966336292 @default.
- W4310971915 cites W2966508069 @default.
- W4310971915 cites W2978608169 @default.
- W4310971915 cites W2988802433 @default.
- W4310971915 cites W3029118220 @default.
- W4310971915 cites W3083158743 @default.
- W4310971915 cites W3120314568 @default.
- W4310971915 cites W3126175821 @default.
- W4310971915 cites W3153373029 @default.
- W4310971915 cites W3204406284 @default.
- W4310971915 cites W3217059763 @default.
- W4310971915 cites W4200361379 @default.
- W4310971915 cites W4205696733 @default.
- W4310971915 doi "https://doi.org/10.1109/iecon49645.2022.9968895" @default.
- W4310971915 hasPublicationYear "2022" @default.
- W4310971915 type Work @default.
- W4310971915 citedByCount "0" @default.
- W4310971915 crossrefType "proceedings-article" @default.
- W4310971915 hasAuthorship W4310971915A5006158794 @default.
- W4310971915 hasAuthorship W4310971915A5016440861 @default.
- W4310971915 hasAuthorship W4310971915A5037041582 @default.
- W4310971915 hasAuthorship W4310971915A5063506828 @default.
- W4310971915 hasAuthorship W4310971915A5067924417 @default.
- W4310971915 hasAuthorship W4310971915A5070972408 @default.
- W4310971915 hasConcept C127413603 @default.
- W4310971915 hasConcept C139719470 @default.
- W4310971915 hasConcept C162324750 @default.
- W4310971915 hasConcept C199360897 @default.
- W4310971915 hasConcept C2778348673 @default.
- W4310971915 hasConcept C2780560099 @default.
- W4310971915 hasConcept C39432304 @default.
- W4310971915 hasConcept C41008148 @default.
- W4310971915 hasConcept C43521106 @default.
- W4310971915 hasConcept C6557445 @default.
- W4310971915 hasConcept C86803240 @default.
- W4310971915 hasConcept C88463610 @default.
- W4310971915 hasConceptScore W4310971915C127413603 @default.
- W4310971915 hasConceptScore W4310971915C139719470 @default.
- W4310971915 hasConceptScore W4310971915C162324750 @default.
- W4310971915 hasConceptScore W4310971915C199360897 @default.
- W4310971915 hasConceptScore W4310971915C2778348673 @default.
- W4310971915 hasConceptScore W4310971915C2780560099 @default.
- W4310971915 hasConceptScore W4310971915C39432304 @default.
- W4310971915 hasConceptScore W4310971915C41008148 @default.
- W4310971915 hasConceptScore W4310971915C43521106 @default.
- W4310971915 hasConceptScore W4310971915C6557445 @default.
- W4310971915 hasConceptScore W4310971915C86803240 @default.
- W4310971915 hasConceptScore W4310971915C88463610 @default.
- W4310971915 hasLocation W43109719151 @default.
- W4310971915 hasOpenAccess W4310971915 @default.
- W4310971915 hasPrimaryLocation W43109719151 @default.
- W4310971915 hasRelatedWork W2294536850 @default.
- W4310971915 hasRelatedWork W2351276805 @default.
- W4310971915 hasRelatedWork W2360883279 @default.
- W4310971915 hasRelatedWork W2386318567 @default.
- W4310971915 hasRelatedWork W2899084033 @default.
- W4310971915 hasRelatedWork W2915521600 @default.
- W4310971915 hasRelatedWork W2992516105 @default.
- W4310971915 hasRelatedWork W2995320699 @default.
- W4310971915 hasRelatedWork W3210635025 @default.
- W4310971915 hasRelatedWork W39822017 @default.
- W4310971915 isParatext "false" @default.
- W4310971915 isRetracted "false" @default.
- W4310971915 workType "article" @default.