On the data front, the focus would be on the US jobs data, manufacturing & services PMI numbers and monthly auto sales. In the week ended March 28, the Nifty 50 climbed 169 points to 23,519 ...

To this end, traffic flow is estimated by averaging and clustering speed trajectories from low-frequency probe vehicle data. The Gaussian mixture model is used to obtain the vehicle’s average speed ...

Market-making on-chain trades is mysterious and important — and lucrative, too. The problem, according to pseudonymous trader Grug, is that crypto protocols with valuable order flow are leaving ...

The irony is that every organization already has the data they need in the form of flow logs to gain network visibility from all of their cloud providers and on-prem infrastructure. It requires ...

Abstract: Maritime traffic flow prediction is essential for the development of intelligent transportation systems in the maritime domain. The widespread deployment of automatic identification system ...

For recommended options and installation troubleshooting, see the pygraphviz docs. Then to install erdantic and its Python dependencies from PyPI: First, make sure that the data model classes that you ...

UB classifies data into three risk-based categories to regulate access to, use of, and necessary precautions required to the protect university data. This policy provides a classification framework ...

A cash flow statement is a financial statement that provides aggregate data regarding all cash inflows a company receives from its ongoing operations and external investment sources. What Is a ...