Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...

Abstract: The demand for 3D scanning of workpiece geometries in automated assembly within workshops is increasingly critical, playing a vital role in the process. Point cloud registration, as an ...

Abstract: In this paper, we investigate the methods of multitarget tracking in imaging process, focusing on both point targets and extended targets. Point target imaging is characterized by low signal ...

Abstract: With the increasing demand for batch testing of fiber optic gyroscopes (FOGs) scale factor, accurate and low-complexity change point detection methods are essential for identifying state ...

Abstract: With the increasing demand of high-precision data acquisition card in application, noise suppression in the process of signal acquisition becomes very important. The existence of noise will ...

Nivedita is lawyer and company secretary by training and holds a masters in public policy from Princeton University’s School of Public and International Affairs. Recently, I was at an event where a ...

Abstract: To address the issue of low accuracy in 3D point cloud registration, we present a novel iterative closest point (ICP) algorithm for point registration using the stochastic differential ...

Abstract: This electronic Digital information, computer systems, networks, and data are highly in need of protection from damage, unauthorized access, and internal and external threats. Cyber security ...

Abstract: Organisations are flooded with enormous amounts of data from many sources in the big data era. Effective query processing strategies are crucial for deriving significant insights and guiding ...

Abstract: Currently, the aviation industry is growing rapidly, with strong demand for aircraft booking systems, which have become an indispensable tool for airlines and travel agents. Large airlines ...