Scott Reeves demonstrates the flow graph feature of the Wireshark tool, which can help you check connections between client server, finding timeouts, re-transmitted frames, or dropped connections.

We consider a dynamic network flow problem where the arc capacities are random variables. This gives a multistage stochastic linear program. We describe the randomness using a multi-scenario approach.

BingoCGN, a scalable and efficient graph neural network accelerator that enables inference of real-time, large-scale graphs through graph partitioning, has been developed by researchers at ...

We develop a new approach to solving minimum-cost circulation problems. Our approach combines methods for solving the maximum flow problem with successive approximation techniques based on cost ...

Using the Intel® Advisor Flow Graph Analyzer (FGA), an application such as those that are needed for autonomous driving can be developed and implemented using very high performing underlying software ...

IMAGE: The schematic diagram of DPABINet. (a) The graphical user interface of DPABINet. (b) The flow chart for network construction and graph theoretical analyses based on preprocessed fMRI data ...

What Is TensorFlow? To quote the TensorFlow website, TensorFlow is an “open source software library for numerical computation using data flow graphs”. What do we mean by “data flow graphs”?