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 ...

Abstract: The shape of the floating buoy of a point absorber wave energy converter (WEC) plays a crucial role in both wave energy harvesting and current drag reduction. In this study, an approach to ...

Abstract: Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2), utilizing a 532 nm green laser, provides critical data for high-precision depth measurements in shallow water areas. However, due to ...

Abstract: We propose a general attack framework based on evolutionary algorithms to quickly and efficiently generate low-perturbation adversarial samples for 3D point cloud data. Specifically, we ...

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: Finding the MST of a weighted connected and undirected graph plays a vital role in different applications of the real world such as effective route finding during navigation, faster ...

Abstract: For robot-assisted fracture reduction surgery, it is necessary to study the point cloud registration after the point cloud extraction and screening. According to the registration result, the ...

LLM4AD is an open-source Python-based Platform leveraging Large Language Models (LLMs) for Automatic Algorithm Design (AD). Please refer to the paper [LLM4AD] for detailed information, including the ...

Abstract: Change point detection (CPD) has proved to be an effective tool for detecting drifts in data and its use over the years has become more pronounced due to the vast amount of data and IoT ...