This repository contains the code and dataset for the paper "Data-Driven Modeling of Three-Phase IGBT Two-Level Inverter for Electrical Drives using ANNs". The project employs MATLAB to develop and train Artificial Neural Networks (ANNs) to model a three-phase IGBT two-level inverter for electrical drives.

IC-SHM2022-project3 by Mr. Shuo Hao, Mr. Gao-Feng Jiang and Dr. Hong-Wei Li.

The Dig4Bio worskhop series

D-FENSE is a repository for dengue data in Brazil, enabling predictive modeling, visualization, and public health support.

This repository contains Jupyter notebooks from my learning journey with Physics-Informed Neural Networks (PINNs). These are not complete projects but serve as educational resources to explore core and intermediate concepts in applying neural networks to solve partial differential equations (PDEs).

Reinforsment learning, dara-driven modeling, genetic algorithms