One useful feature of the Python math module is quick access to mathematical constants. You can make Python more effective as ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

SiC-based converters and inverters are the optimal choice for battery-operated vehicles (BEVs), renewables, and all other applications where maximum efficiency is required. Silicon Carbide (SiC) ...

Introduction: The SIR (Susceptible-Infected-Recovered) model is one of the simplest and most widely used frameworks for understanding epidemic outbreaks. Methods: A second-order dynamical system for ...

Zero-correlation linear cryptanalysis is an important method to analyze the security of block ciphers. But there are few works on zero-correlation linear attacks combined with the related-key setting.

Abstract: Nonlinear feedback design via state-dependent Riccati equations is well established but unfeasible for large-scale systems because of computational costs. If the system can be embedded in ...

Abstract: Recent years have seen a surging interest in developing under-approximations of reachable sets due to their potential applications in control synthesis and verification. In this letter, we ...

In order to understand how climate responds to changes in sea surface temperature (SST), it is common to use linear approximations, i.e. the response is assumed to vary linearly with the sign and ...