Abstract: The rapid development of modern urban public transportation and people’s demand for efficient transportation have made intelligent management of urban public transportation networks a hot ...
Abstract: Radar signal sorting is a crucial step in radar signal processing, and its accuracy directly affects the progress of electronic warfare. Numerous machine learning algorithms, such as K-Means ...
Abstract: Many-objective optimization problems are challenging and time-consuming, especially when the number of objectives is large. In this paper, an evolutionary algorithm inspired by quantum ...
Abstract: The word algorithm means a finite set of clearly defined instructions to be performed in calculations or coming up with the solution to a problem. This paper aims to deliver a single ...
Abstract: As the cornerstone of the Internet of Things, the deployment of wireless sensor networks remains a challenging problem, as it is difficult to balance coverage quality and computational ...
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Abstract: Point cloud registration is a key computer vision task that must be solved in most modern pipelines for 3-D data processing. Iterative Closest Point (ICP) algorithms are one of the most ...
The All-Star Weekend has faced heavy scrutiny in recent years, largely for its lack of competitiveness and laid-back approach. However, the 2026 edition in Los Angeles has certainly brought some ...
TORONTO, Feb. 12, 2026 /PRNewswire/ - Franco-Nevada Corporation (FNV) ("Franco-Nevada" or the "Company") is pleased to announce that, through a wholly-owned U.S. subsidiary, it has entered into an ...
Abstract: In the realm of computer science, sorting algorithms play a pivotal role in optimising data organisation and retrieval processes across various applications. This paper presents a ...
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