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 concepts, distributed computing tools for big data, and techniques to handle class imbalance in particle datasets. Learn to visualize collision events, process detector outputs, and interpret model decisions using gradient-weighted class activation mapping (Grad-CAM). Includes performance benchmarks against traditional cut-based methods.

AI RF Signal Classification Using MATLAB Deep Learning

This MATLAB project implements machine learning to classify radio frequency signals automatically. Using convolutional neural networks (CNNs), the system identifies modulation types like QAM, PSK, and FSK from raw I/Q data. The workflow includes signal preprocessing, spectrogram g.....

signal-processing RF signal classification MATLAB deep learning

An infographic-style illustration of green hydrogen production economics in MATLAB Simulink.

This MATLAB project provides a comprehensive framework for techno-economic assessment of green hydrogen production systems. Using MATLAB's Simulink and Optimization Toolbox.....

Green Hydrogen produ MATLAB Simulink

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