Python implementation of non-linear 6DOF GARTEUR RCAM aircraft flight dynamics model

Single-cell alignment

This repository contains the code to reproduce the results in the paper Quantum Splines for Non-Linear Approximation, under publication for the ACM International Conference on Computing Frontiers 2020.

Bias reduced fixed effect generalized linear models

The Extended Kalman filter MATLAB Toolbox for robotics. The repository contains a sample simulation and report for building understanding of the EKF algorithm.

this code uses Finite Difference Method to solve the function: sin(x) * exp(-t)

This package utilises the Šesták–Berggren equation alongside the Arrhenius equation to make a simple and consistent way for a user to carry out the calculations and predictions required by accelerated stability studies.

This suite is an ensemble of codes developed to conduct a vibration analysis of a assembled structure.

Framework provides abstractions for fast mathematical model implementation based on tensor-vector and array calculus

Bounded horizon Taylor expansion based reachability analysis for non-linear continuous systems

Discussion about Probabilities, Classification and Zipf's law

Working through all the exercises for An Introduction to Statistical Learning by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani.

Simulating Single Pendulums with and without constraints

This repository includes the R code and data used in the analysis for the main manuscript of the paper. The cleaned data file consists of the data for only the 104 incident infections used. The ped.RDS file is an R data file for the piece-wise exponential data formulation of the survival data for the competing risks analysis. The descriptives fi…

I have studied this course as a part of Masters in Automation Program from university of Gävle. Including my assignment solutions and the final project work in this repository.

OLS. R and Python. In this project, we study fundamental concepts of Supervised ML models, such as Regression Analysis: Coefficient of Model Adjustment (R²), Parameters Estimation ,Statistical Significance of the Model (F test, T test) ,Multiple Regression , Qualitative Explanatory Variables (X) , heteroscedasticity and etc.

Hybrid stepper motor model simulation script

Project showcasing data management and analysis skills with a functional response dataset

Cervical Cancer detection using linear and non-linear machine learning algorithms