Machine Learning for Environmental Noise Classification in Smart Cities

Discover the innovative world of sound analysis with Machine Learning for Environmental Noise Classification in Smart Cities by Springer International Publishing AG. This insightful book, set to be released in 2025, spans 170 pages and delves into the application of machine learning techniques for monitoring and classifying noise pollution in urban environments.

With a focus on practical implementation, the author provides valuable MATLAB and Python code to effectively analyze various types of noise pollution. This resource is essential for researchers, urban planners, and environmental scientists looking to harness the power of machine learning to improve the quality of life in smart cities.

Stay ahead in the field of environmental technology and explore the potential of machine learning to tackle pressing noise pollution challenges. Don’t miss out on this essential addition to your professional library!