Deep Image Prior for Inverse Problems in Imaging

Explore cutting-edge deep image prior techniques for solving inverse problems in computational imaging using MATLAB. This project implements untrained convolutional neural networks as natural image priors for tasks like denoising and super-resolution. The tutorial covers medical imaging (MRI/CT), satellite enhancement, and microscopy applications with complete MATLAB workflow: from handling corrupted inputs to implementing the optimization loop. Compare results with wavelet-based and total variation methods, highlighting advantages in texture preservation. Includes practical guidance on hyperparameter tuning and GPU acceleration for faster convergence.

Top Quark Detection with Deep Learning

This advanced MATLAB project applies deep learning to analyze CERN LHC data for top quark detection. We implement a hybrid approach combining CNNs for calorimeter image analysis with boosted decision trees for jet feature processing. The tutorial covers high-energy physics concept.....

High-Energy Physics top quark MATLAB big data

Energy Management for 2-Motor BEV

Optimize energy management in dual-motor battery electric vehicles (BEVs) using MATLAB's Model Predictive Control (MPC) toolbox. This project develops torque distribution algorithms that maximize efficiency while maintaining drivability. The tutorial covers battery modeling, .....

Power Electronics BEV energy management MATLAB MPC

Build air quality prediction systems using MATLAB's Regression Learner and Time Series Toolboxes

Build air quality prediction systems using MATLAB's Regression Learner and Time Series Toolboxes. This project develops machine learning models for PM2.5 and ozone forecasting using meteorological and pollution data. Learn to handle spatial-temporal correlations, feature selection from sensor networks, and uncertainty quantification. Includes complete wo.....

Build air quality pr PM2.5 forecasting ozone prediction