Machine Learning for Environmental Noise Classification in Smart Cities

Author:   Ali Othman Albaji
Publisher:   Springer International Publishing AG
Edition:   1st ed. 2024
ISBN:  

9783031546662


Pages:   170
Publication Date:   23 March 2024
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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Machine Learning for Environmental Noise Classification in Smart Cities


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Overview

We present a Machine Learning (ML) approach to monitoring and classifying noise pollution. Both methods of monitoring and classification have been proven successful. MATLAB and Python code was generated to monitor all types of noise pollution from the collected data, while ML was trained to classify these data. ML algorithms showed promising performance in monitoring the different sound classes such as highways, railways, trains and birds, airports and many more. It is observed that all the data obtained by both methods can be used to control noise pollution levels and for data analytics. They can help decision making and policy making by stakeholders such as municipalities, housing authorities and urban planners in smart cities. The findings indicate that ML can be used effectively in monitoring and measurement. Improvements can be obtained by enhancing the data collection methods. The intention is to develop more ML platforms from which to construct a less noisy. The second objective of this study was to visualize and analyze the data of 18 types of noise pollution that have been collected from 16 different locations in Malaysia. All the collected data were stored in Tableau software. Through the use of both qualitative and quantitative measurements, the data collected for this project was then combined to create a noise map database that can help smart cities make informed decisions.

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Author:   Ali Othman Albaji
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2024
ISBN:  

9783031546662


ISBN 10:   3031546660
Pages:   170
Publication Date:   23 March 2024
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Introduction. - Literature Review. - Research Methodology. - Results and Discussion. - Conclusion and Recommendations.

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Author Information

Ali Othman Albaji received a bachelor’s degree in electrical engineering specializing in “General communications”  from the Civil Aviation Higher College, Tripoli, Libya, in 2007, and a Master’s degree in electronics and telecommunication engineering from University Technology Malaysia *UTM*, Johor Bahru, Malaysia in 2022. His research interests are Machine Learning (ML), IoT, Wireless Sensor Networks (WSN), VSAT, SCADA Systems, Optical Networking, Wireless Communications, Deep Learning (DL), Artificial intelligence (AI), Web design, Robotics, and Programming Languages expert / Traineron ( Python, MATLAB, JAVA, JAVA Script, SQL, Data Base MSQL, C++, HTML, and....ETC).

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