Deep learning has transformed the field of data analysis by dramatically improving the state
of the art in various classification and prediction tasks, especially in the area of computer …

The paper addresses two issues relative to machine learning on 2D+ X data volumes, where
2D refers to image observation and X denotes a variable that can be associated with time …

Sažetak Over the past few years, Deep learning (DL) has revolutionized the field of data
analysis. Not only are the algorithmic paradigms changed, but also the performance in …

For multidimensional data, Space-Filling Curves (SFCs) have been used to improve the
execution time of spatial data queries. However, their effect on compression, when used to …

This research further extends an existing state-of-the-art GPU framework of SPH simulation
for better performance without any compromise of numerical accuracy and sacrifice of …

Mass spectrometry imaging (MSI) is an imaging technique used in analytical chemistry to
study the molecular distribution of various compounds at a micro-scale level. For each pixel …

Scientific or engineering simulations of complex fluid flows, eg, turbulent flow, often resort to
high-order methods to obtain high resolutions. However, a large-scale, time-dependent …

Common compression techniques typically do not exploit the underlying structure and
dimensionality of the data being processed. However, queries on multidimensional data are …

요 약교차로에서의 자율주행은 다양한 차량이 혼재하며 주행환경이 복잡한 특성으로 인하여
교통 객체 간의 교통정보 교환을 통한 자율주행 지원이 필요하다. 이와 관련되어 인접한 …

The voxelisator program of the Chair for Computation in Engineering (Technical University
of Munich) is used to generate a voxel model from a geometric surface model. Geomet-ric …