GitHub

Fits linear and polynomial models to data using linear least squares and approximates nonlinear models through linearization.

[c,r2,eqn] = lsqcurvefit_approx(x,y) returns the model coefficient vector c = [m,b] for the linear fit to a data set defined by the vectors x (independent variable) and y (dependent variable).
IEEE

Machine Learning-Based Predictive Techno-Economic Analysis of Power System

Abstract: This paper proposes a predictive techno-economic analysis in terms of voltage stability and cost using regression-based machine learning (ML) models and effectiveness of the analysis is ...
IEEE

Optimized Robust Fuzzy Twisting Sliding Mode Control Design for Fixed Wing UAV

Abstract: This paper introduces an optimized robust Fuzzy Twisting Sliding Mode Control (FTSMC) scheme for a seven-degree-of-freedom (7DOF) Fixed Wing Unmanned Aerial Vehicle (FWUAV) model, addressing ...
GitHub

Data-Driven Methods for Dynamic Systems

This repository contains the scripts and notebooks that accompany the book Data-Driven Methods for Dynamic Systems. The goal of this textbook is to provide an example-driven understanding of how ...
eLife

Intravital calcium imaging of meningeal macrophages reveals niche-specific dynamics and aberrant responses to brain hyperexcitability

This valuable study presents a technically sophisticated intravital two-photon calcium imaging approach to characterize Ca²⁺ dynamics in distinct populations of meningeal macrophages in awake, freely ...