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Urban Traffic Noise Analysis Using DNN-OALO by Nurullah Sarı is a document available to read on EtoBox.

The study presents a novel approach for predicting vehicular traffic noise in urban areas using a Deep Neural Network (DNN) optimized by the Oppositional based Antlion Optimization (OALO) model. It highlights the adverse health effects of increasing traffic noise and compares the accuracy of the proposed model with existing prediction techniques. The research is based on data collected from Nashik, India, focusing on noise parameters like Equivalent continuous sound level (Leq) and Percentile exceeded sound

Author

Nurullah Sarı

Language

EN