Coordinating complicated interactive systems, whether it's the different modes of transportation in a city or the various ...

🛰️ 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 ...

Abstract: Distributed detection over decentralized baseband architectures has emerged as an important problem in the uplink massive MIMO systems. In this paper, the classic Kaczmarz method is fully ...

Go Data Structures and Algorithms is an open source tool for learning and rehearsing data structures and algorithms in Go.

This process requires engineers to perform iterative calculations repeatedly, resulting in a lengthy design cycle. However, the integration of optimization algorithms and computer ... Wing box ...

To address these limitations, this article enhances the target detection capabilities of Doppler radars through the design of both radar hardware structure and Doppler Frequency (DF) estimation ...

Clustering algorithms are at the basis of several technological applications, and are fueling the development of rapidly evolving fields such as machine learning. In the recent past, however, it has ...

Methods: The GSE139061 dataset was used to identify hub genes in 86 DEGs between acute kidney injury and control samples using three machine learning algorithms (LASSO, random forest, and support ...

The proposed inverter design, with battery backup, relies on a maximum power point tracking (MPPT) solar charge controller based on an artificial fish-swarm algorithm, which is inspired by the ...