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dc.contributor.editorShirowzhan, Sara
dc.date.accessioned2022-07-27T08:13:33Z
dc.date.available2022-07-27T08:13:33Z
dc.date.issued2022
dc.identifierONIX_20220727_9781839629440_50
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/90154
dc.description.abstractReal-time, web-based, and interactive visualisations are proven to be outstanding methodologies and tools in numerous fields when knowledge in sophisticated data science and visualisation techniques is available. The rationale for this is because modern data science analytical approaches like machine/deep learning or artificial intelligence, as well as digital twinning, promise to give data insights, enable informed decision-making, and facilitate rich interactions among stakeholders.The benefits of data visualisation, data science, and digital twinning technologies motivate this book, which exhibits and presents numerous developed and advanced data science and visualisation approaches. Chapters cover such topics as deep learning techniques, web and dashboard-based visualisations during the COVID pandemic, 3D modelling of trees for mobile communications, digital twinning in the mining industry, data science libraries, and potential areas of future data science development.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::U Computing and Information Technology::UM Computer programming / software engineering::UML Graphics programmingen_US
dc.subject.otherGraphics programming
dc.titleData Science, Data Visualization, and Digital Twins
dc.typebook
oapen.identifier.doi10.5772/intechopen.87794
oapen.relation.isPublishedBy78a36484-2c0c-47cb-ad67-2b9f5cd4a8f6
oapen.relation.isbn9781839629440
oapen.relation.isbn9781839629433
oapen.relation.isbn9781839629457
oapen.imprintIntechOpen
oapen.pages116


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