Abstract: Visual simultaneous localization and mapping (VSLAM) as an efficient positioning and navigation solution has been widely used in fields such as unmanned aerial vehicles, robots, and ...
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: This paper presents a study on the prediction of cargo volumes in 57 logistics sorting centers using the ARIMA-LSTM forecasting algorithm. The primary objective is to forecast the volume of ...
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 ...
Munster returned to play in Bridgend for the first time since 2001 United Rugby Championship Ospreys (3) 10 Try: Morris Cons: Edwards Pens: Edwards Munster (19) 26 Tries: Daly, Barron, Crowley, Haley ...
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 ...