We investigate the constant-modulus (CM) waveform design for dual-function radar communication systems in the presence of clutter. To minimize the interference power and enhance the target acquisition ...

Many graph-based algorithms in high performance computing (HPC) use approximate solutions due to having algorithms that are computationally expensive or serial in nature. Neural acceleration, i.e., ...

Home | Mathematics | Linear functions, graphs and equations | Graphing linear functions Graphing linear functions This section focuses on the key features and methods for working with linear graphs.

IS and LM curves, their characteristics, and limitations to understand macroeconomic equilibrium in goods and money markets.

Some custom lighting functions/sub-graphs for Shader Graph, Universal Render Pipeline. If anything breaks, let me know by opening an issue!

To address this, we developed ProtHGT, a heterogeneous graph transformer-based model that integrates diverse biological datasets into a unified framework using knowledge graphs for accurate and ...

This study aims to investigate core graph metrics to understand the network properties of cortical areas crucial for executive functions, specifically initiation, inhibition, shifting, and working ...

The residue number system is widely used in applications such as communication systems, cryptography, digital filters, digital signal processors, fault-tolerant detection, and so on. This paper ...

Exploring and travelling involves moving between vertices along the edges of a graph. Understanding the various methods and mathematical principles behind this allows for the identification of the ...

It will be useful to regulate AI, but primarily at the application level. For example, AI applications to medical diagnosis should be regulated very differently from AI applications to self-driving ...