Portable Tool for an Ideal Windows Setup

:monocle_face: Matlab Samples

**DeepLearning** Intro.. Need to wrap up more projects here...

Parameteroptimierung elektrischer Maschinen mit Genetischen Algorithmen

Question & Answer (Stack Overflow Clone) Application built with Laravel + Vue JS

react 项目版本，支持各种优化方式和开发特性。

This project implements a series of exercises related to image processing, compression, filtering, segmentation, and optimization. The exercises explore key concepts in computer vision and image analysis, including quantization, Fourier transform, filtering, denoising, and object detection.

Optimize your multi-stop route to get to your destination the fastes

Economic_DER_Integration is a Economical demand-side management with distributed energy resources project which Demand-side management (DSM) and distributed energy resources (DER) are both strategies that can help reduce energy costs and improve the efficiency of energy.

Below is the code i created for my thesis "Last-mile delivery optimization and simulation using heterogeneous vehicles." Drones, autonomous vehicles, cars, and heavy goods vehicles were among the vehicles I used.

This project analyzes user engagement data to visualize the funnel stages from page_view to purchase. Using SQL and data visualization, it identifies drop-off points, calculates conversion rates, and provides insights to enhance user retention, optimize experiences, and boost conversions.

Heart attack prediction using first derivative

The Push swap project is a very simple and a highly straightforward algorithm project: data must be sorted.

Implementation of a Genetic Algorithm to solve the Traveling Salesman Problem using selection, crossover, and mutation strategies.

GPU-resident batched Arnoldi / Krylov methods for many right-hand sides, implemented in Julia using CUDA.jl.

This repository introduces the codes applied to the nasal microbial community of the latest available curated GEMs of D. pigrum and S. aureus.

AI-driven optimization of diagonal parameters in linear ODE systems using adjoint Krylov methods.

Code for Data-Driven KNN Modeling for Mixed Data: An Optimized Weighted Distance Approach

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