Abstract: Ultrasound plane wave imaging is an ultrafast technique to obtain the reconstructed images in real-time. However, identifying the point targets (such as microcalcifications) is challenging ...
Abstract: Accurately identifying feature points of welding seam is the premise to ensure welding accuracy. Line laser has been widely used in the field of automated welding. However, the algorithm for ...
Abstract: Heterogeneous image registration is a critical field in computer vision, with broad applications in scene registration, image retrieval, and autonomous driving. Due to differences in sensor ...
An obituary of Tony Hoare, a pioneer and one of the greatest programmers in the early history of computing.
Most of you have used a navigation app like Google Maps for your travels at some point. These apps rely on algorithms that ...
Abstract: Light detection and ranging (LiDAR) is a crucial roadside intelligent perception device in cooperative vehicle infrastructure systems, which can generate a large amount of disordered 3-D ...
Abstract: As the cornerstone of the Internet of Things, the deployment of wireless sensor networks remains a challenging problem, as it is difficult to balance coverage quality and computational ...
Abstract: This paper proposes an automatic sorting algorithm for work order data based on multi-threaded service monitoring, aiming to improve the processing efficiency and real-time performance of ...
Abstract: Many advanced techniques efficiently harvest the global maximum power (GMP) of the photovoltaic (PV) system, including machine learning techniques and metaheuristic algorithms based maximum ...
Abstract: To address the problem of inefficient continuous multi-task scheduling operations, a scheduling model was established with the optimization objective of minimum total scheduling time to ...
Abstract: Photovoltaic arrays receive varying levels of solar radiation due to factors such as shadows created by clouds, surrounding buildings, and other obstructions. Therefore, an effective Maximum ...
Abstract: In this work, we propose a voxel-based single-stage fine-grained and efficient point cloud 3D object detection algorithm to address the inadequate granularity in point cloud feature ...