MO833 AI-BASED MOBILITY DESIGN

CLASS MATERIALS

Lecture Slides: KLMS

REFERENCE VIDEOS

Youtube (In Korean): Link

CODE

1. Deep Neural Network (DNN)
- Bracket: DNN

2. Convolutional Neural Network (CNN)
- Bracket: CNN

3. Autoencoder (AE) & Anomaly Detection
- Bracket: Autoencoder, Anomaly Detection

4. Convolutional Autoencoder (CAE)
- Bracket: CAE

5. Variational AutoEncoder (VAE)
- Bracket: VAE

6. Generative Adversarial Network (GAN)
- Bracket: GAN

7. Conditional GAN (cGAN)
- Bracket: cGAN

8. Denoising Diffusion Probabilistic Model (DDPM)
- Bracket: DDPM

9. Drag Coefficient Prediction Model  (ref.  Song, JMD (2024))
- Car shape : Surrogate Model

10. Machine Learning Models
1) Principal Component Analysis (PCA): CODE
2) Logistic Regression: CODE
3) Support Vector Machine (SVM): CODE
4) Decision Tree & Random Forest: CODE