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: To enhance the information encoding of point cloud geometry and multi-feature utilization, thereby further improving the accuracy of 3D point cloud semantic segmentation, this paper proposes ...

Abstract: LiDAR is one of the most promising scanning technologies with a wide range of applications. It is commonly used for geodetic and cartographic tasks, allowing for the scanning and ...

TORONTO, Feb. 12, 2026 /CNW/ - Franco-Nevada Corporation ("Franco-Nevada" or the "Company") (TSX: FNV)(NYSE: FNV) is pleased to announce that, through a wholly-owned U.S. subsidiary, it has entered ...

TORONTO, Feb. 12, 2026 /PRNewswire/ – Franco-Nevada Corporation (“Franco-Nevada” or the “Company“) (TSX: FNV)(NYSE: FNV) is pleased to announce that, through a wholly-owned U.S. subsidiary, it has ...

Franco-Nevada Corp. ("Franco-Nevada" or the "Company") (TSX: FNV)(NYSE: FNV) is pleased to announce that, through a wholly-owned U.S. subsidiary, it has entered into an agreement to acquire a $250 ...

Abstract: The Discrete Fourier Transform (DFT) algorithm is widely used in signal processing and communication systems to transform the signal to the frequency-domain. As real-time signal analysis is ...

Abstract: Iterative gradient-based optimization algorithms are widely used to solve difficult or large-scale optimization problems. There are many algorithms to choose from, such as gradient descent ...

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: In recent years, with the rapid development of drone technology, fixed-wing unmanned aerial vehicles (UAVs) have shown extensive potential in various fields such as battlefield ...