Conny Walchshofer |  Vaishal Dhanoa... -  《IEEE transactions on visualization and computer graphics》 - 2024,30(1) - 381～391 - 共11页

摘要：Many long-established, traditional manufacturing businesses are becoming more digital and data-driven to improve their production. These companies are embracing visual analytics in these transitions t...

关键词： Companies |  Data visualization |  Data analysis |  Interviews |  Manufacturing |  Surveys |  Production

Vaishali Dhanoa |  Conny Walchshofer... -  《IEEE transactions on visualization and computer graphics》 - 2023,29(2) - 1463～1477 - 共15页

摘要：Spreadsheet-based tools provide a simple yet effective way of calculating values, which makes them the number-one choice for building and formalizing simple models for budget planning and many other a...

关键词： Uncertainty |  Costs |  Automobiles |  Tools |  Visualization |  Computational modeling |  Maintenance engineering

Conny Walchshofer |  Andreas Hinterreiter... -  《IEEE transactions on visualization and computer graphics》 - 2023,29(12) - 4816～4831 - 共16页

摘要：Understanding user behavior patterns and visual analysis strategies is a long-standing challenge. Existing approaches rely largely on time-consuming manual processes such as interviews and the analysi...

关键词： Data visualization |  Layout |  Cognition |  Visual analytics |  Time series analysis |  Task analysis |  Collaboration

Klaus Eckelt |  Andreas Hinterreiter... -  《IEEE transactions on visualization and computer graphics》 - 2023,29(7) - 3312～3326 - 共15页 - 被引量：6

摘要：In this work, we propose an interactive visual approach for the exploration and formation of structural relationships in embeddings of high-dimensional data. These structural relationships, such as it...

关键词： Visualization |  Task analysis |  Layout |  Data visualization |  Space exploration |  Visual analytics |  Trajectory

Matej Vukovic |  Vaishali Dhanoa... -  《Proceedings of the Iron & Steel Technology Conference: AISTech 2020, 31 August - 3 September 2020, Cleveland, Ohio, USA, volume 3》 -  Iron and Steel Technology Conference - 2020, - 2028～2038 - 共11页

摘要：Sintering is a complex production process where the process stability and product quality depend on various parameters. Building a forecasting model improves this process. Artificial intelligence (AI)...

关键词： Sintering |  Machine learning |  Visual analytics |  Causality detection |  Quality control

NSTL主题词： performance quality |  Sinter