This R statistical nmath module re-created in typescript/javascript and handwritten webassembly.

PHP implementation of statistical probability distributions: normal distribution, beta distribution, gamma distribution and more.

waveform LiDAR data processing and analysis

ProFeld: survival analysis, predictive maintenance, churn analysis, and remaining useful life prediction in Python

Matlab functions to plot 2D and 3D maps from nanoindentation tests.

Official implementation of "Extreme Value Meta-Learning for Few-Shot Open-Set Recognition of Hyperspectral Images" (TGRS'23)

Wind Energy : A Practical Power Analysis Approach - Open Sourced Code for the Research Paper published in IEEE.

codes from theorems in the field of stochastic processes

MENSA: A Multi-Event Network for Survival Analysis with Trajectory-based Likelihood Estimation. ML4H 2025.

Parameter estimation of Weibull Distribution

[Archived] R package for Weibull series system estimation from masked failure data. Companion code for master's project (SIUE, 2023). Superseded by likelihood.model.series.md.

Statistical estimation of optimal solutions for combinatorial optimization problems

A two-parameter Weibull lens on transformer weights — diagnose weight-magnitude distributions (shape k, scale λ) across 7 model families, and explain how λ evolves under AdamW training. Library (npm-weibull-py) + benchmark database + companion code for arXiv:2605.18898 and 2606.19367.

This repository contains an SPSS analysis project, performed to derive insights from the data while maintaining confidentiality. The repository includes an SPSS worksheet and a Word file summarizing the results.

Reliability-oriented lifecycle modelling and degradation probability analysis for lithium-ion battery systems.

Cross-Family Convergence of Neural Network Weight Skeletons. Companion to Zenodo paper (10.5281/zenodo.19652706).

The official codebase for the paper "Full band watermarking in DCT domain with Weibull model"

Simple program for finding the Weibull distribution parameters

This repository explores the integration of Machine Learning with the Weibull Distribution to improve the accuracy of Remaining Useful Life (RUL) estimations. By treating the Weibull scale parameter ( λ ) as a dynamic target for regression, these projects bridge the gap between statistical reliability analysis and modern data-driven maintenance.

Este trabalho propõe uma abordagem integrada para a otimização de carteiras de investimentos, considerando simultaneamente três critérios fundamentais: retorno esperado, risco associado e custo operacional decorrente do rebalanceamento da carteira.