Government-funded academic research on parallel computing, stream processing, real-time shading languages, and programmable ...
Abstract: This paper focuses on developing algorithms for parallel determinant processing, a crucial task in linear algebra and computational mathematics. The aim is to improve efficiency in ...
Abstract: Railway intrusion detection is very important for maintaining the safety of railway operations. The detection method based on LiDAR point cloud is widely used in railway intrusion detection, ...
Abstract: Transactional stream processing engines (TSPEs) have gained increasing attention due to their capability of processing real-time stream applications with transactional semantics. However, ...
Abstract: The increasing prevalence and growing size of data in modern applications have led to high costs for computation in traditional processor-centric computing systems [1โ€“20]. To mitigate these ...
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Abstract: Multi-channel speech separation in dynamic environments is challenging as time-varying spatial and spectral features evolve at different temporal scales. Existing methods typically employ ...
Abstract: Edge nodes such as Intelligent Transportation System Stations are becoming increasingly relevant in the context of automated driving as they provide connected vehicles with additional ...
Abstract: Aiming at the problems of noise and jump in 2D laser point clouds, this paper proposes a point cloud processing method based on weighted filtering. The method handles outliers through a ...
๐Ÿ‘‰ Learn how to write the equation of a line that is parallel to a given line. The equation of a line is such that its highest exponent on its variable(s) is 1. (i.e. there are no exponents in its ...