NumPy isn’t just a Python library—it’s the backbone of efficient numerical computing, powering everything from data science to high-performance simulations. By mastering vectorization, broadcasting, ...

Python’s versatility, speed, and rich ecosystem of libraries have made it the go-to language for industries from data science to automation. With countless learning paths and platforms, anyone can ...

The purpose of Sparklen package is to provide the Python community with a complete suite of cutting-edge tools specifically tailored for the study of exponential Hawkes processes, with a particular ...

Abstract: In this paper, we first propose a new design strategy of 2D Z-complementary array quads (2D-ZCAQs) with feasible array sizes. A 2D-ZCAQ consists of four distinct unimodular arrays satisfying ...

Abstract: This article introduces a novel system designed to convey the three-dimensional positions surrounding the user. The system incorporates circumferential vibrotactile arrays strategically ...

This repository provides a Python implementation of Covariate-Adjusted Multidimensional Scaling (MDS), utilizing Maximum Likelihood Estimation (MLE) based on the log-linear model framework originally ...