Abstract: Based on Storage Time Aggregated Graph (STAG) model in time-varying graph theory, we investigate the single-source-single-sink maximum flow problem in a time-varying Ad hoc network comprised ...

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Ford-Fullkerson-Algorithm/ ├── src/ # Source code │ ├── utils.h/.c # Utility functions and data structures │ ├── graph.h/.c # Graph representation and operations │ ├── path.h/.c # Path finding ...

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Copyright: © 2024 The Author(s). Published by Elsevier Ltd. Artificial Intelligence (AI), through deep learning, has brought automation and predictive capabilities ...

This article presents a novel target tracking algorithm for hyperspectral low altitude UAV, combining deep learning with an improved Kernelized Correlation Filter (KCF). Initially, an image noise ...

Ray tracing is a computer graphics method that renders images realistically. As the name suggests, this technique primarily traces the path of light rays interacting with objects in a scene [1], ...

Download PDF Join the Discussion View in the ACM Digital Library The maximum flow problem and its generalization, the minimum-cost flow problem, are classic combinatorial graph problems that find ...

Finding bipartite matchings is one of the oldest and most well-studied problems in computer science. This problem comes up in many guises, such as when matching donors to recipients for organ ...

Poring over spreadsheets won’t solve all cash flow challenges. Augmenting spreadsheets with artificial intelligence (AI) saves valuable time, which can be better spent in forecasting cash trends and ...