Data structures permeate many aspects of software engineering, but their associated human cognitive processes are not thoroughly understood. We leverage medical imaging and insights from the ...

Hierarchical clustering is of great importance in data analysis. Although there are a number of hierarchical clustering algorithms including agglomerative methods, divisive methods and hybrid methods, ...

In order to apply the random forest regression algorithm to the structural optimization of concrete frames, this paper uses the relative dynamic elastic modulus as the evaluation index of the concrete ...

Formation control plays a fundamental role in many domains, such as autonomous vehicles, aerial vehicles, and robotics, by enabling coordinated movement and cooperation among multiple agents. In this ...

In this article, we focus on the scalable distributed data-driven state estimation problem using Gaussian processes (GPs). The framework includes two parts: 1) the data-driven training approach and 2) ...

A Coherence-Oriented Fast Time-Domain Algorithm for UAV Swarm SAR Imaging With Trajectory Difference Correction and Data-Driven MOCO ...

In this article, a new feature selection (FS) algorithm, called simple, fast, and efficient (SFE), is proposed for high-dimensional datasets. The SFE algorithm performs its search process using a ...

Data structures are important for organizing and managing data efficiently in software development. When studying Android development using Java, understanding key data structures like HashMap and ...

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This article first analyzes the basic theories and methods of data mining, data mining classifiers, multi-classifier fusion, and lays a foundation for the study of classification algorithms based on ...

🛰️ An interactive visual simulator that models internet packet flow across a custom network using max-flow algorithms. It helps analyze routing efficiency using Dinic, Edmonds-Karp, Goldberg-Tarjan , ...