Abstract: Autonomous underwater vehicles (AUV) play an important role in the process of human exploration of the ocean. However, the existing AUV control methods are faced with the problem of ...
Abstract: To enhance the multi-target path planning and tracking performance of Unmanned Surface Vehicles (USVs), a combined control strategy integrating the Serret-Frenet Line-of-Sight (SFLOS) ...
Abstract: Formation control algorithms are a prominent area of study in the domain of drones and drone swarms. The goal of the formation control algorithms is to manage and manipulate individuals to ...
Abstract: This paper proposes a new algorithm for choosing a solution in the Pareto Optimal Front of the multi-objective optimization problem of the spectral and energy efficiency trade-off in Massive ...
Abstract: Generally, the single GPU computing method is utilized for the conventional radix sort algorithm based on GPU parallel computing. Nevertheless, as the data scale grows, the single GPU ...
Abstract: Intrusion detection system (IDS) is a combination of software application and hardware devices that monitors the network and filters activities for malicious or unauthorized access attempts.
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: With the rapid development of sensing technology and the demand for digital construction, three-dimensional data has been widely applied in many industries. In the processing and application ...
Abstract: Conventional perturb and observe (P&O) algorithm fails to track global maximum power point (GMPP) under complex partial shading conditions (PSC) in photovoltaic (PV) system. While many of ...
Abstract: In this paper, we proposed two simple refinement segmentation algorithms that can provide options to improve the computational complexity of the Video-based Point Cloud Compression (V-PCC) ...
Abstract: Point cloud segmentation is a crucial technique for object recognition and localization, widely employed in various applications such as point cloud registration, 3D reconstruction, object ...