Dynamic Information Flow Tracking (DIFT) is a technique that facilitates run-time data-flow analysis on a running process, allowing a system to overcome the limitations of finding data dependencies ...

This repo contains a PyTorch-based AE-ConvLSTM model for fluid flow prediction. It can forecast 5–10 time steps per forward pass and over 100 steps in rollout. The model is trained using both ...

This paper presents a solution for traffic flow prediction in a city area. GPS devices offer new opportunities for short-term traffic prediction, especially in arterial road networks where traditional ...

Others were confused that you couldn’t read about Flow in the docs for Dynamics NAV 2018. For Dynamics NAV 2018, some of you were able to use the Flow on-premises gateway to connect to Dynamics NAV ...

“By powering flow with Einstein GPT and data cloud, we’re not only enhancing usability, but ensuring our customers have access to the most advanced tools to achieve even more productivity, ...

IAEA's Groundbreaking Study. The International Atomic Energy Agency (IAEA), using isotope hydrology techniques, has pioneered a method to assess the contributions of different water sources to river ...