Landlords could no longer rely on rent-pricing software to quietly track each other's moves and push rents higher using confidential data, under a settlement between RealPage Inc. and federal ...

Kruskal’s algorithm finds a Minimum Spanning Tree (MST) by building it edge by edge, always choosing the cheapest edge that doesn’t create a cycle. Sorting all edges in the graph from smallest weight ...

Abstract: Graph cut algorithms are popular in optimization tasks related to min-cut and max-flow problems. However, modern FPGA graph cut algorithm accelerators still need performance and memory ...

This article introduces a model-based design, implementation, deployment, and execution methodology, with tools supporting the systematic composition of algorithms from generic and domain-specific ...

Graph theory is an integral component of algorithm design that underlies sparse matrices, relational databases, and networks. Improving the performance of graph algorithms has direct implications to ...

If you’ve been making the same commute for a long time, you’ve probably settled on what seems like the best route. But “best” is a slippery concept. Perhaps one day there’s an accident or road closure ...

A professor has helped create a powerful new algorithm that uncovers hidden patterns in complex networks, with potential uses in fraud detection, biology and knowledge discovery. University of ...

University of Calgary provides funding as a founding partner of The Conversation CA. University of Calgary provides funding as a member of The Conversation CA-FR. A public interest group filed a U.S.

Swift Graphs library provides a composable and extensible foundation for working with graphs. Whether you're constructing binary trees, performing complex graph traversals, or optimizing pathfinding ...

Abstract: Federated learning of a decentralized machine learning approach is used for attack detection which trains models collaboratively across multiple IoT devices. The dynamic selection of ...