All posts

Below you can find all of my posts.

• Agent-Based Models: Simulating an Epidemic

  In this post, we’ll dive into how ABMs are used for epidemic simulations, exploring their advantages, challenges, and real-world applications. Whether you're a researcher, developer, or simply curious about computational epidemiology, this guide will provide a solid foundation to understand how these models work and why they are so powerful.

• Time Series Classification through Shapelets Transform primitive

  Let's explore how we can use Shapelets to perform Time Series classification. After an introductory, theorical, part, a practical example will be examined and addressed through the Python's library aeon.

• Genetic Algorithms: exploring 3D object reconstruction

  How Genetic Algorithms (GA) works? After a theoretical introduction to the topic, let's try to exploit them to reconstruct a 3D mesh.

• Problem-Solving AI Agents

  Reasoning and planning with certainty in fully observable environment.

• ESLint, under the hood

  Ever wondered how ESLint actually works? This deep dive breaks down its core — the parser, the abstract syntax tree (AST), and how rules analyze your JavaScript code to keep it clean and consistent.

• Hello, World!

  Just to test stuffs out...