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Proceedings of the 29th ACM International Conference on Information & Knowledge Management, 2020
With the rapid growth of data volume, data-driven machine learning models have become a necessary part of many industrial applications. Intuitively, the more high-quality data used for training leads to better model performance. However, in reality, data are usually scattered and isolated in different organizations or companies. Such a "data isolation"
Cen Chen +7 more
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With the rapid growth of data volume, data-driven machine learning models have become a necessary part of many industrial applications. Intuitively, the more high-quality data used for training leads to better model performance. However, in reality, data are usually scattered and isolated in different organizations or companies. Such a "data isolation"
Cen Chen +7 more
openaire +1 more source
Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, 2015
In this paper we present Nebula, a prototype for examining the properties of textiles, fashion accessories, and digital technologies to arrive at a garment design that brings these elements together in a cohesive manner. Bridging the gap between everyday performativity and enactment, we aim at discussing aspects of the making process, interaction and ...
Ludvig Elblaus +3 more
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In this paper we present Nebula, a prototype for examining the properties of textiles, fashion accessories, and digital technologies to arrive at a garment design that brings these elements together in a cohesive manner. Bridging the gap between everyday performativity and enactment, we aim at discussing aspects of the making process, interaction and ...
Ludvig Elblaus +3 more
openaire +2 more sources
Interstellar Matter, Gaseous Nebulae, Planetary Nebulae
1970Grains responsible for the 2.2–22 μm infrared radiation from galaxies are charged by the photoelectric effect and effectively frozen into the ionized gas surrounding the galactic nuclei.
Siegfried Böhme +5 more
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Astrophysics and Space Science, 1994
Hydrodynamical calculations are becoming increasingly successful at understanding the shapes and kinematics of planetary nebulae (PNs). The most successful models are two-dimensional interacting stellar wind models for which the PN nucleus is assumed to originally expel much or most of its mass in an equatorial waistband.
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Hydrodynamical calculations are becoming increasingly successful at understanding the shapes and kinematics of planetary nebulae (PNs). The most successful models are two-dimensional interacting stellar wind models for which the PN nucleus is assumed to originally expel much or most of its mass in an equatorial waistband.
openaire +1 more source