Abstract Feature discretization is an important preprocessing technology for massive data in industrial control. It improves the efficiency of edge-cloud computing by transforming continuous features into discrete ones, so as to meet requirements high-quality cloud services. Compared with other methods, based on rough set has achieved good results many applications because it can make full use ...

Egress models typically use one of three methods to represent the physical space in which the agents move, namely: coarse network, fine network or continuous. In this work, we present a novel approach to represent space, which we call the ‘Hybrid Spatial Discretisation’ (HSD), in which all three spatial representations can be utilised to represent the physical space of the geometry within a sin...

Efficiently computing robust soft shadows is a challenging and time consuming task. On the one hand, the quality of image-based shadows is inherently limited by the discrete property of their framework. On the other hand, object-based algorithms do not exhibit such discretization issues but they can only efficiently deal with triangles having a constant transmittance factor. This paper addresse...