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 paper presents a deep learning-based system for the classification and identification of LoRa signals. The system initially preprocesses the RSSI and phase of LoRa signals and then maps ...
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: In this article, we present the statistical analysis of data from inexpensive sensors. We also present the performance of machine learning algorithms when used for automatic calibration of ...
Shortest path algorithms sit at the heart of modern graph theory and many of the systems that move people, data, and goods around the world. After nearly seventy years of relying on the same classic ...
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 ...
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