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Model electrolysis and storage systems in MATLAB to assess costs, efficiency, and scalability of green hydrogen from renewable sources using optimization toolboxes....
Implement robust Simultaneous Localization and Mapping using MATLAB Mobile sensor fusion (IMU/camera) for indoor/outdoor robot autonomy....
Optimize energy efficiency in battery electric vehicles using MPC Toolbox for torque splitting between motors, ensuring drivability and battery life extension....
Create a DNN-based speaker verification system using Audio Toolbox: extract features from voice signals and authenticate users with low false positives....
Smart Traffic Light Control using Reinforcement Learning (Q-Learning) is an AI-based approach that automatically adjusts traffic signals based on real-time traffic conditions. By learning optimal actions through continuous interaction with the environment, the system reduces congestion, minimizes waiting time, and improves overall traffic...
Project Overview Develop a fully autonomous drone capable of detecting, classifying, and avoiding moving/static obstacles (people, vehicles, birds, trees, power lines) in real-time using only onboard vision — no GPS or remote pilot required. The sys...
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...
This MATLAB project provides a comprehensive framework for techno-economic assessment of green hydrogen production systems. Using MATLAB's Simulink and Optimization Toolbox...