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: Complex Independent Component Analysis (c-ICA) is widely employed in many applications involving MIMO communication systems, radar signal processing, medical imaging (MRI), and other fields ...

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 [1–20]. To mitigate these ...

Abstract: This paper addresses the development of a multi-level parallel algorithm for detecting single scatterers in SAR tomography, targeted at multi-node multi-GPU distributed computational ...

Daily Stream Follow me! My server Discord! #geometrydash #deluxe12 Trump's signature will be added to US currency, Treasury says What emergency E15 waiver could mean for gas prices 'NCIS' kills off a ...

What if technology, such as self-driving cars, drones, or intelligent navigation systems, could understand the world the way we do—not just seeing shapes, but recognizing meaning? A person waiting at ...

Abstract: The theses is in line with works aimed at studying the possibility of using mathematical algorithms for parallel processing of information in reverse blockchain technology. The paper ...