Machine Learning for Environmental Noise Classification in Smart Cities

Discover the cutting-edge insights in "Machine Learning for Environmental Noise Classification in Smart Cities" by Ali Othman Albaji, published by Springer International Publishing AG in 2024. This comprehensive hardback edition spans 170 pages and delves into innovative machine learning techniques for effectively monitoring and classifying noise pollution in urban environments.

In this essential guide, Albaji presents a robust ML approach, utilizing MATLAB and Python code to analyze diverse types of noise pollution from collected data. Learn how machine learning can be harnessed to classify noise data, paving the way for smarter, more sustainable cities. Ideal for researchers, urban planners, and environmentalists, this book is a valuable resource for anyone interested in the intersection of technology and environmental science.

Enhance your understanding of noise pollution management and contribute to the development of smarter urban spaces with this insightful publication.