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Enhance autonomous vehicle safety through object behavior classification using MATLAB's Deep Learning Toolbox. This project implements CNN-LSTM hybrid networks to predict pedestrian and vehicle trajectories from camera/LiDAR data. The tutorial covers anomaly detection in traf...
Create traffic light negotiation systems for autonomous vehicles using MATLAB's Automated Driving Toolbox. This project develops perception algorithms to detect, classify, and respond to traffic signals in real-world scenarios. The tutorial covers color/shape recognition, sta...
Model and control bio-inspired snake-like robots using MATLAB's Robotics System Toolbox. This project implements serpentine locomotion algorithms for confined space navigation and obstacle traversal. The tutorial covers kinematic chain modeling, gait pattern optimization, and...
Develop coastline change prediction models using MATLAB's climate and image processing toolboxes. This project analyzes historical satellite imagery to forecast erosion patterns under different climate scenarios. The tutorial covers shoreline detection algorithms, multivariat...
Develop energy-aware trajectory planning for quadrotor drones using MATLAB's Robotics System Toolbox. This project implements model predictive control accounting for dynamic constraints, wind disturbances, and battery characteristics to generate optimal 3D flight paths. The t...
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...
Discover AI-powered music composition using MATLAB's LSTM networks. This project provides a complete framework for algorithmic composition, from MIDI dataset preprocessing to original melody generation. Implement a sequence-to-sequence model that learns musical patterns from ...
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 i...