Abstract: In this study, deep learning techniques and algorithms used in point cloud processing have been analysed. Methods, technical properties and algorithms developed for 3D Object Classification ...

Abstract: The paper considers the problem of human-scale RF sensing utilizing a network of resource-constrained MIMO radars with low range-azimuth resolution. The radars operate in the mmWave band and ...

Abstract: General purpose graphic processor unit (GPGPU) supports various applications' execution in different fields with high-performance computing capability due to its powerful parallel processing ...

Abstract: The article describes how to integrate parallel computing processes into the operational and cache memory of multicore processors and synchronize parallel computing processes.

Abstract: In the present scenario, it has become a major necessity to create easy-to-access, easily-understandable and less time-consuming resources/tutorials. Our application proposes to create a ...

Abstract: The current loop bandwidth expansion is the key to improve the dynamic performance of permanent magnet synchronous motor (PMSM) vector control. However, the current loop bandwidth is greatly ...

Abstract: In Autonomous vehicles, LiDAR point cloud data is an important source to identify different obstacles present in the environment. 3D LiDAR point cloud data has high density, outlier noise ...

Abstract: Integrating compression with analysis for point clouds poses a formidable challenge due to the inherent tension between the primary goals of compression for a compact representation and ...

Abstract: Machine learning is a relatively new field. With the deepening of people's research in this field, the application of machine learning is increasingly extensive. On the other hand, with the ...

Abstract: Preconditioned iterative methods based on the Krylov subspace technique are widely employed in various scientific and technical computing. When utilizing large-scale parallel computing ...

Abstract: The JPEG format can compress digital images by reducing file sizes while maintaining visual quality. However, decoding JPEG images can become a bottleneck when large-scale image processing ...