Leveraging Bayesian Neural Networks for multimodal AUV data fusion, enabling precise and uncertainty-aware mapping of underwater environments.

A machine learning project that classifies sonar signals as rocks or mines. Built with Python, scikit-learn, and pandas.

A machine learning model using Logistic Regression to classify sonar signals as either a rock or a mine. Built for underwater object detection systems used by submarines.

Deep learning project using Artificial Neural Networks (ANN) to classify sonar signals as mines or rocks, including preprocessing, model training, and performance evaluation.