Matches in SemOpenAlex for { <https://semopenalex.org/work/W3024504191> ?p ?o ?g. }
Showing items 1 to 81 of
81
with 100 items per page.
- W3024504191 endingPage "99179" @default.
- W3024504191 startingPage "99171" @default.
- W3024504191 abstract "Machine Learning (ML) solutions are rapidly evolving and are increasingly capable of performing Automated Visual Data Processing (AVDP) tasks such as visual scene understanding, 3D model reconstruction and automated content generation tasks. We believe that novel AVDP solutions can significantly boost a company's business, streamline the creation of 3D content and models, enable adaptation of content in XR applications and support the creation of digital twins for a company's needs. However, there are also obstacles that limit the business use of such solutions. The objective of our research is to study the skills and insights of companies in using different kinds of AVDP solutions in their business. This article presents the results of interviews with 10 Finnish companies. The interviews comprised three sections: The first section gave a brief introduction about the existing AVDP solutions for the respondents. The second section collected information on the respondents' background and the respective company's experience of using ML in business and its short and long-term interest in developing or using different AVDP solutions in its business. The third section comprised thematic interviews which covered visual data processing themes that the respondents selected to be of interest to their company's business." @default.
- W3024504191 created "2020-05-21" @default.
- W3024504191 creator A5005498985 @default.
- W3024504191 creator A5031695371 @default.
- W3024504191 creator A5044941392 @default.
- W3024504191 creator A5078238118 @default.
- W3024504191 date "2020-01-01" @default.
- W3024504191 modified "2023-10-16" @default.
- W3024504191 title "Boosting Business With Machine Learning-Based Automated Visual Data Processing: Results of Finnish Company Interviews" @default.
- W3024504191 cites W2014667763 @default.
- W3024504191 cites W2099940712 @default.
- W3024504191 cites W2418353659 @default.
- W3024504191 cites W2807414605 @default.
- W3024504191 cites W2899270511 @default.
- W3024504191 cites W2903545703 @default.
- W3024504191 cites W2904904022 @default.
- W3024504191 cites W2945889281 @default.
- W3024504191 cites W2946420151 @default.
- W3024504191 cites W2963527086 @default.
- W3024504191 cites W2963601843 @default.
- W3024504191 cites W4297598254 @default.
- W3024504191 doi "https://doi.org/10.1109/access.2020.2993669" @default.
- W3024504191 hasPublicationYear "2020" @default.
- W3024504191 type Work @default.
- W3024504191 sameAs 3024504191 @default.
- W3024504191 citedByCount "1" @default.
- W3024504191 countsByYear W30245041912023 @default.
- W3024504191 crossrefType "journal-article" @default.
- W3024504191 hasAuthorship W3024504191A5005498985 @default.
- W3024504191 hasAuthorship W3024504191A5031695371 @default.
- W3024504191 hasAuthorship W3024504191A5044941392 @default.
- W3024504191 hasAuthorship W3024504191A5078238118 @default.
- W3024504191 hasBestOaLocation W30245041911 @default.
- W3024504191 hasConcept C120665830 @default.
- W3024504191 hasConcept C121332964 @default.
- W3024504191 hasConcept C139807058 @default.
- W3024504191 hasConcept C144024400 @default.
- W3024504191 hasConcept C154945302 @default.
- W3024504191 hasConcept C190248442 @default.
- W3024504191 hasConcept C205649164 @default.
- W3024504191 hasConcept C36289849 @default.
- W3024504191 hasConcept C41008148 @default.
- W3024504191 hasConcept C46686674 @default.
- W3024504191 hasConcept C56739046 @default.
- W3024504191 hasConcept C58640448 @default.
- W3024504191 hasConcept C74196892 @default.
- W3024504191 hasConcept C93692415 @default.
- W3024504191 hasConceptScore W3024504191C120665830 @default.
- W3024504191 hasConceptScore W3024504191C121332964 @default.
- W3024504191 hasConceptScore W3024504191C139807058 @default.
- W3024504191 hasConceptScore W3024504191C144024400 @default.
- W3024504191 hasConceptScore W3024504191C154945302 @default.
- W3024504191 hasConceptScore W3024504191C190248442 @default.
- W3024504191 hasConceptScore W3024504191C205649164 @default.
- W3024504191 hasConceptScore W3024504191C36289849 @default.
- W3024504191 hasConceptScore W3024504191C41008148 @default.
- W3024504191 hasConceptScore W3024504191C46686674 @default.
- W3024504191 hasConceptScore W3024504191C56739046 @default.
- W3024504191 hasConceptScore W3024504191C58640448 @default.
- W3024504191 hasConceptScore W3024504191C74196892 @default.
- W3024504191 hasConceptScore W3024504191C93692415 @default.
- W3024504191 hasLocation W30245041911 @default.
- W3024504191 hasOpenAccess W3024504191 @default.
- W3024504191 hasPrimaryLocation W30245041911 @default.
- W3024504191 hasRelatedWork W1543657218 @default.
- W3024504191 hasRelatedWork W1571518467 @default.
- W3024504191 hasRelatedWork W189527659 @default.
- W3024504191 hasRelatedWork W2008361377 @default.
- W3024504191 hasRelatedWork W2020291234 @default.
- W3024504191 hasRelatedWork W2135121413 @default.
- W3024504191 hasRelatedWork W2135470563 @default.
- W3024504191 hasRelatedWork W2948340715 @default.
- W3024504191 hasRelatedWork W3196787553 @default.
- W3024504191 hasRelatedWork W87991986 @default.
- W3024504191 hasVolume "8" @default.
- W3024504191 isParatext "false" @default.
- W3024504191 isRetracted "false" @default.
- W3024504191 magId "3024504191" @default.
- W3024504191 workType "article" @default.