Homepage - Meskine Hocine

Projects

I've implemented some interesting machine learning models in my GitHub repository from_scratch. Here are the most recent ones, listed in order of relevance:

Denoising Diffusion Probabilistic Models (DDPM).

Deep Convolutional Generative Adversarial (DCGAN).

Variational Autoencoder (VAE).

Deep Boltzmann Machine (DBM).

Deep Belief Network (DBN).

Restricted Boltzmann Machine (RBN).

Convolutional Neural Network (CNN) using Fast Fourier Transform (FTT).

Long Short Term Memory (LSTM).

Publications

Conference papers

UAV-BASED CLOSE MONITORING OF THE VEGETATION FOR PRECESION AGRICULTURE PURPOSES:

(DOI: 10.1109/M2GARSS57310.2024.10537513)

Risk Assessment Model for Algerian Wildfires:

(GitHub)

(M2GARSS 2024).

Journal papers

Meskine Hocine, Lila Mouffok. Analytical Modeling of a Triple-Band Artificial Magnetic Conductor. TechRxiv. March 04, 2024. (DOI: 10.36227/techrxiv.170956729.92594453/v1)