About
The ship noise’s detrimental effects on human health, marine life, and naval operations, emphasizing the need for a machine learning (ML) model to estimate ship noise in the Indian Ocean region. It critiques existing mathematical models, proposing ML algorithms like neural networks, random forest, and logistic regression. The study aims to understand ship noise sources, develop an ML-based model, and engage stakeholders for effective management. Data from output noise and AIS will inform the ML model, crucial for mitigating ship noise’s adverse impacts.
